1143 Statistical Modeling Jobs - Page 6

At Improzo, we believe in improving life by empowering our customers. Founded by seasoned industry leaders, we are dedicated to delivering quality-led commercial analytical solutions to our clients. Our team of experts in commercial data, technology, and operations is committed to evolving and learning together since our inception. At Improzo, you will have the opportunity to collaborate with brilliant minds, work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like yourself. Our success is driven by our CARE values framework, where we prioritize customer needs and outcomes, pursue bold and innovative avenues, foster a culture of collaboration and respect, and maintain a laser focus on quality-led execution. We are currently seeking a highly motivated RWE-HEOR-Patient Analytics Specialist at various levels to join our dynamic team. In this role, you will leverage Patient Analytics, Real-World Evidence (RWE), and Health Economics & Outcomes Research (HEOR) methodologies to drive impactful insights and support life sciences clients in optimizing patient outcomes, decoding patient journeys, and refining healthcare strategies. Your responsibilities will include leading patient journey analytics and segmentation, developing predictive patient models, analyzing patient-reported outcomes, integrating real-world data, conducting health economics evaluations, implementing advanced patient analytics solutions, engaging with clients to translate insights into actionable strategies, leading projects, mentoring team members, and contributing to thought leadership in patient analytics. Qualifications: - Bachelor's or Master's degree in Data Science, Biostatistics, Health Informatics, Epidemiology, Health Economics, Public Health, or related quantitative fields with an emphasis on patient-centered research. - 3-9 years of experience in Patient Analytics, Digital Health Analytics, RWE, and HEOR, preferably within the pharmaceutical, consulting, or healthcare industries. - Proficiency in statistical software and programming languages (Python, R, SAS, SQL), machine learning applications, data visualization tools, healthcare databases, patient privacy regulations, and clinical trial data utilization. - Experience with patient cohort identification, patient engagement analytics, care pathway optimization, treatment sequence analysis, patient risk scoring, population health management, and integration of RWE and HEOR principles. - Strong analytical and problem-solving abilities, excellent communication skills, collaborative approach, adaptability, continuous learning mindset, and ethical approach to patient data handling. Benefits: - Competitive salary and comprehensive benefits package. - Leadership opportunities in patient analytics, RWE, and HEOR initiatives. - Career development in the rapidly growing patient analytics and precision medicine field. - Collaborative environment with opportunities to impact patient care and outcomes. - Exposure to innovative healthcare technologies and global life sciences industry trends. - Professional development support including conferences, certifications, and advanced training in patient analytics, RWE, and HEOR methodologies.,

About the Company: We are one of India's premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. Our expertise lies in providing strategic advice and implementation services that merge data-backed insights with in-depth ground intelligence to create comprehensive electoral campaigns. With a deep passion for democracy and the impact of politics on our world, we have assembled a team of exceptional individuals from prestigious institutions and diverse professional backgrounds. Together, we bring 7 years of experience in developing electoral strategies that initiate conversations, drive change, and influence the electoral and legislative landscapes of our country. Job Summary: We are currently looking for a detail-oriented and methodical Statistical Analyst/Statistician to join our analytics team. The ideal candidate will play a crucial role in collecting, analyzing, and interpreting quantitative data to facilitate strategic decision-making processes. This position involves developing statistical models, conducting simulations, and generating reports and visualizations to extract insights that inform organizational priorities. Additionally, the candidate will be expected to share data-driven insights through reporting and publications. Key Responsibilities: - Collect, clean, and prepare extensive datasets from various sources for analysis. - Utilize statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns, and make forecasts. - Interpret and effectively communicate complex data findings and forecasts to non-technical stakeholders. - Create and maintain dashboards, forecasts, and ad hoc reports. - Assist in survey design and evaluation processes, including sampling, weighting, and post-stratification if applicable. - Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals. - Ensure the accuracy, integrity, and privacy of all processed data. Required/Minimum Qualifications: - Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics (Econometrics), or a related quantitative field. - Proficiency in Microsoft Excel, Word, and G-Suites is essential. - Proficiency in statistical software, with preference for R/SPSS. - Strong understanding of statistical concepts and modeling, including linear and logistic regression, ANOVA, Time-Series Modeling, and Bayesian methods. - Experience working with large datasets and relational databases, with consideration for both graduate and undergraduate experiences. - Excellent analytical, problem-solving, and organizational skills. - Strong communication skills, especially in translating data for non-technical audiences. Preferred Qualifications: - Demonstrated ability to manage multiple large datasets concurrently for hypothesis building and inference testing. - Academic excellence or research experience in quantitative fields like econometrics, finance, mathematics, Bayesian statistics, etc. - Experience in model building using Python, R will be advantageous. - Proficiency in query writing and data automation tasks (SQL, VBA, etc.) is a plus. - Ability to independently handle multiple projects and meet the key requirements of internal stakeholders. - Previous experience or postgraduate exposure to publishing academic research is favorable. Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore, 560021.,

As a Senior Statistician at Rhythm, you will play a crucial role in leading statistical research, designing experiments, and developing predictive models to ensure robust data-driven insights. Your responsibilities will involve collaborating closely with data scientists, AI engineers, and business stakeholders to build scalable and interpretable statistical models that support Rhythm Innovations" AI initiatives. Your expertise in statistical methodologies and machine learning will be instrumental in enhancing the accuracy, reliability, and fairness of AI-driven solutions. Analyzing customer data to identify patterns, establish correlations, and derive actionable insights to enhance AI solutions will be a key aspect of your role. You will also develop and apply advanced statistical methodologies to analyze large-scale datasets and improve AI model accuracy. Designing and implementing rigorous experiments such as A/B testing, hypothesis testing, and Bayesian inference will be essential to validate AI models and business strategies. Collaborating with AI and machine learning teams to integrate statistical models into AI-driven applications will be a critical part of your responsibilities. Ensuring statistical integrity and robustness in AI solutions by developing methodologies for bias detection, uncertainty quantification, and explainability will also be a key focus area. Additionally, you will lead research initiatives on new statistical approaches to enhance AI fairness, reliability, and efficiency. Communicating complex statistical findings to both technical and non-technical stakeholders in a clear and impactful manner is an important part of this role. Staying up-to-date with the latest advancements in statistical methods, AI, and machine learning to continuously improve methodologies will also be expected. Moreover, mentoring junior statisticians and data scientists to foster a culture of statistical rigor and innovation will be a part of your responsibilities. The ideal candidate for this position should hold a Masters or Ph.D. in Statistics, Mathematics, Data Science, or a related field. A minimum of 5 years of experience in statistical modeling, experimental design, and data analysis, preferably in an AI-driven environment, is required. Proficiency in statistical programming languages such as R or Python, expertise in probability theory, Bayesian inference, regression modeling, and strong understanding of machine learning algorithms are essential qualifications. Experience working with large-scale data and cloud-based data platforms, proven ability to translate complex statistical concepts into actionable insights, excellent problem-solving and critical-thinking skills, as well as strong communication and collaboration skills are also required. Preferred qualifications include experience in AI ethics, fairness, and interpretability of machine learning models, knowledge of causal inference and advanced experimental design techniques, familiarity with deep learning frameworks like TensorFlow and PyTorch, as well as publications in peer-reviewed journals or conferences related to statistics, AI, or machine learning.,

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data-driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling, and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. ACV's network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital, and ACV Capital within its Marketplace Products, as well as True360 and Data Services. ACV Auctions is opening its new India Development Center in Chennai, India, and we're looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles. At ACV, we put people first and believe in the principles of trust and transparency. If you are looking for an opportunity to work with the best minds in the industry and solve unique business and technology problems, look no further! Join us in shaping the future of the automotive marketplace! At ACV, we focus on the Health, Physical, Financial, Social, and Emotional Wellness of our Teammates and to support this we offer industry-leading benefits and wellness programs. Monk is leading the way in AI-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europe), Getaround (France), Autobiz (Europe), and Hgreg (Canada). We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we'd love to have you on board. This role is your opportunity to lead game-changing projects, create tangible value, and shape the future of AI technology in the automotive space. **What you will do:** - Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs. - Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk's AI solutions. - Identify and solve key business problems with data-driven, actionable insights. - Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions. - Mentor and support junior team members, cultivating a culture of excellence and collaboration. - Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback. - Ensure long-term reliability and scalability through robust documentation and testing practices. **Tech Stack Utilized:** - **Languages:** Python, SQL - **Libraries/Frameworks:** PyTorch ecosystem, a touch of OpenCV and Scikit-learn - **Tools:** Jupyter, DBT, Docker - **Infrastructure:** GCP, Kubernetes, BigQuery - **Version Control:** GitHub **Background and Skills:** **Required Skills:** - 5+ years of experience in computer vision, data science, or related fields, with a proven track record of delivering impactful results. - Strong foundation in machine learning, computer science, statistical modeling, and data processing pipelines. - Proficiency in Python and SQL for data manipulation and model development. - Solid experience deploying machine learning models into production environments. - A proactive approach to aligning with business needs and driving team-wide innovation. - Strong communication skills to explain technical concepts to non-technical stakeholders. - Fluent in English, enabling effective collaboration across global teams. **Desired Background:** - Masters or Ph.D. in Data Science, Computer Science, or a related field. - Experience in B2B SaaS, automotive technology, or AI-driven startups. - Knowledge of working with distributed teams across time zones. - A proactive mindset, with the ability to work autonomously in fast-paced environments. **Our Values:** - Trust & Transparency - People First - Positive Experiences - Calm Persistence - Never Settling,

The Balance Sheet Management Sr. Analyst role requires a seasoned professional with in-depth disciplinary knowledge to contribute to the development of new methodologies, data processing, visualization tools, and process improvement within the Balance Sheet Management function. The modeling group in Balance Sheet Management is a critical team responsible for developing statistical methodologies that have a direct impact on Citigroup's Capital and overall balance sheet management. The work in this area is closely monitored by regulators. Key Responsibilities: - Develop statistical models covering asset classes such as Deposits or Fixed Income Securities, or specific functions like Asset Allocation strategy. - Demonstrate analytical/statistical skills in model design, implementation, and governance. - Exhibit strong communication skills for documenting and presenting work, stakeholder management, and understanding requirements. - Assume informal leadership roles within teams and integrate subject matter and industry expertise for non-statistical modeling projects. - End-to-end development and governance of models in the treasury/IRRBB space, including econometric forecasting models for key balance sheet and income statement items. - Apply analytical thinking and knowledge of statistics, modeling, and data analysis tools for making informed judgments and recommendations. - Develop and maintain a comprehensive modeling system to ensure data quality and reduce model operating risk. - Build key relationships with finance and business teams, influence people, and create a culture of accountability and data integrity. Qualifications and Requirements: - 8+ years of statistical modeling/econometrics experience in the financial domain. - PG/Masters/PhD in quantitative disciplines preferred, along with certifications like FRM or CFA. - Deep understanding of statistical techniques such as Linear Regression, Logistic Regression, Time Series, and Machine Learning Techniques. - Proficiency in programming and modeling using Python, statistical packages like SAS/R, and experience with SQL and databases. - Domain knowledge in PPNR, Fixed Income Securities, Mortgage Modeling, Asset Liability Management, etc. - Excellent presentation and analytical skills, ability to build cross-functional relationships, and manage multiple projects. Education: - Bachelor's degree in Finance and Business or related fields; advanced degree is a plus.,

Responsible for: Delivering lectures, leading seminars, and facilitating lab sessions in business analytics, data science, and related fields. Designing and updating course materials, including syllabi, assignments, and assessments, to ensure they are relevant and aligned with industry standards. Conducting independent and collaborative research, publishing findings in peer-reviewed journals, and seeking external funding for research projects. Guiding and mentoring students in their academic pursuits, research projects, and career development. Participating in departmental and university committees, contributing to accreditation processes, and potentially taking on administrative roles like Director of Studies. Collaborating with industry partners on projects, guest lectures, and placement opportunities to bridge the gap between academia and practice. Staying current with the latest advancements in business analytics and related fields through continuous learning and professional development activities. Specific Skills and Knowledge: Strong foundation in data analysis techniques, statistical modeling, machine learning algorithms, and data visualization tools. Understanding of current trends and best practices in business analytics across various industries. Effective communication and presentation skills, ability to create engaging learning experiences, and provide constructive feedback. Proficiency in conducting research, analyzing data, and publishing findings in academic journals. Ability to guide and support students in their academic and professional development. Show more Show less

Having exposure of 1-8y in analytical chemistry (HPLC/LCMS/NMR or purification) Interaction with synthetic team and problem solving skills. Should be able to handle the respective instrument Knowledge of instrumental technique with its application Should be able to handle routine analysis independently on respective instrument. Experience in method development on HPLC/LCMS will be desirable but not necessary Maintenance, cleaning, documentation and calibration of analytical instruments. Maintain laboratory as safe working place.

We are seeking a Manager-Analytical Development to lead our analytical team in India. The ideal candidate will have 4-9 years of experience in analytical development within the pharmaceutical industry, focusing on method development, validation, and ensuring compliance with regulatory standards. Responsibilities Lead and manage analytical development projects from initiation to completion. Develop and validate analytical methods for drug substance and drug product characterization. Coordinate with cross-functional teams to ensure timely delivery of analytical results. Ensure compliance with regulatory requirements and industry standards in all analytical activities. Mentor and train junior staff in analytical techniques and best practices. Prepare and review technical documents, including method validation reports and stability protocols. Skills and Qualifications Master's degree in Chemistry, Pharmaceutical Sciences, or related field. Strong knowledge of analytical techniques such as HPLC, GC, and spectroscopy. Experience with method development and validation in a pharmaceutical environment. Familiarity with regulatory guidelines (ICH, FDA) related to analytical testing. Excellent problem-solving and critical thinking skills. Strong communication and interpersonal skills. Ability to work collaboratively in a team-oriented environment.

Description We are seeking a skilled Data Scientist to join our team in India. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, with the ability to transform data into actionable insights. Responsibilities Analyze large datasets to derive actionable insights. Develop and implement machine learning models for predictive analysis. Collaborate with cross-functional teams to understand data needs and provide solutions. Visualize data findings using appropriate tools to communicate results effectively. Maintain and optimize existing data pipelines and algorithms. Skills and Qualifications 5-9 years of experience in data science or related field. Proficiency in programming languages such as Python and R. Strong knowledge of machine learning algorithms and statistical modeling. Experience with data visualization tools like Tableau or Power BI. Familiarity with SQL and database management systems. Understanding of big data technologies such as Hadoop and Spark. Excellent problem-solving skills and ability to work with complex data sets. Strong communication skills for presenting findings to non-technical stakeholders.

Integrate proprietary research and financial planning concepts into a global set of advice engines by working closely with Morningstar research, product managers, and developers to bring intellectual property and newmethodologyto market. Develop an in-depth understanding of theWealth Forecasting Engineand Automated Portfolio Construction tool, its underlyingmethodologiesand implementations. Work closely with stakeholders across research, product, and development teams to ensure successful delivery of projects and features. Support internal and external clients through productprototyping,demonstrations, troubleshooting, methodological proofs, andtimelycommunication. Translate product or functional requests from internal and external clients into detailed written specifications and user stories. Develop scripts inpython/R/MATLABto improve efficiency of current business processes. Build dashboards to support Quality Checks(interactive / automated / visual) that improve the interpretability ofthehistorical trends ornew methodologies. Requirements: Bachelor s degree in finance, economics, mathematics, engineering, computer science or related field isrequired. AMaster sdegree or CFA are all highly desired. Prior experience in finance oraverystronginterest in the financial industry is essential.Demonstrated skill (2-3 yrs.) automating processes using Python/Rsimilar tech stack would be preferred. Experience practicing investment planning methodologies (tax modelling, capital markets assumptions, strategic asset allocation, tax-optimized asset location, goal planning, etc.) or related experience in investment management, insurance domain. Demonstrated ability to visualize data using Python/MATLAB/ R/Tableau or other tools. Possessing a robust foundation in statistical modeling theory and the practical skillset toleveragethis knowledge by developing and deploying code-based solutions. Understanding of both business and technical requirements, and the ability to serve as a conduit between product, research, technology, and external clients. Possessing knowledge of database systems or cloud computing platforms, particularly Amazon Web Services (AWS), would be considered a significant advantage. Excellent English-language oral and written communication.

Your responsibilities include leading a team of 10+ associates to support key deliverables for Region Europe, promoting a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives. You will conceptualize, design, and develop advanced analytics projects and proof of concepts on prioritized use cases incorporating multiple data sources. Additionally, you will design and implement automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate it with existing systems. Your role will involve overseeing data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives. Collaboration with cross-functional global teams to ensure accurate delivery of key projects is also a key aspect of your responsibilities. You will provide thought leadership to foster a culture of data-driven decision-making, identify best practices across the organization and industry, and provide inputs to the team and the broader community. Your role will involve driving data-driven innovation and supporting operational excellence through simplification and automation initiatives. To be successful in this role, you will need a Master's or bachelor's degree in Data Analytics, Data Science, Business, or Engineering; an MBA from a reputed institute is preferred. You should have 10+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues. Experience in Commercial Analytics in the Pharma or Life Sciences industry is preferred. Additionally, you should have experience working with large datasets, data visualization tools, statistical software packages, and platforms, specifically Python, advanced SQL, Snowflake, AWS, Databricks, PowerBI, and Alteryx. Demonstrated experience in designing and delivering insights using statistical models, AI/ML, including GenAI, is a significant plus. Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation, and optimization models is also a significant plus. Proficiency in project management tools and practices, as well as high proficiency in MS-Excel and PPT, is required. In this role, you will receive benefits such as flexible working arrangements, learning and development opportunities, and more. Join Sandoz, a leader in the Generic and Biosimilar medicines sector, where you can contribute to touching the lives of millions of patients worldwide. Shape the future of Sandoz by leveraging new development capabilities, state-of-the-art production sites, acquisitions, and partnerships to increase access to low-cost, high-quality medicines sustainably. Experience an open, collaborative culture driven by talented and ambitious colleagues, where diversity is welcomed, and personal growth is encouraged. Embrace an agile and collegiate environment with impactful, flexible-hybrid career opportunities. The future is in your hands at Sandoz!,

Embark on a transformative journey as a Quant Analyst at Barclays, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Design analytics and modelling solutions to complex business problems using your domain expertise. Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. Develop high-performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalize them. Essential skillsets required for this role include: - A bachelor's or master's degree in computer science or related fields - Strong Computer Science fundamentals - Experience or master's degree in software development, covering the complete Software Development Life Cycle (SDLC), with a strong understanding of software design patterns - Experience or master's degree in Python development - Experience with DevOps tools such as Git, Bitbucket, and TeamCity - Proficiency in technical documentation - Excellent verbal and written communication skills Some other highly valued skills may include: - Experience in a financial institution delivering analytical solutions and model implementation - Experience with Model deployment frameworks and workflows (e.g., databricks, kedro) - Experience in developing frameworks for mathematical, statistical, and machine learning models and analytics used in business decision-making You may be assessed on essential skills relevant to succeed in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based out of the Noida location. Purpose of the role: To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities: - Design analytics and modelling solutions to complex business problems using domain expertise - Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools - Development of high-performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams - Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalize them - Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users - Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy - Ensure all development activities are undertaken within the defined control environment Analyst Expectations: - Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement - Requires in-depth technical knowledge and experience in their assigned area of expertise - Thorough understanding of the underlying principles and concepts within the area of expertise - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources - Impact the work of related teams within the area - Partner with other functions and business areas - Take responsibility for end results of a team's operational processing and activities - Escalate breaches of policies/procedure appropriately - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to - Demonstrate understanding of how own sub-function integrates with function, alongside knowledge of the organization's products, services, and processes within the function - Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents - Guide and persuade team members and communicate complex/sensitive information - Act as a contact point for stakeholders outside of the immediate function, while building a network of contacts outside the team and external to the organization All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team within a fast-paced and challenging environment As a Quant Modelling Associate within our Risk Management and Compliance team at JPMorgan Chase, you will have a crucial role in upholding the strength and resilience of the organization. Your main responsibilities will involve anticipating emerging risks and utilizing your expertise to address challenges that impact the company, its customers, and the communities it serves. You will be an integral part of the Model Risk Governance and Review (MRGR) team, which is accountable for conducting independent model reviews and governance activities to effectively manage Model Risk. Specifically, MRGR Trading focuses on valuation and risk-management models utilized within the Corporate & Investment Bank, with a particular emphasis on Derivatives Instruments that involve complex and advanced modeling techniques. Your key responsibilities will include: Model Review: - Assessing the conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics and risk measures. - Conducting independent testing of models by replicating or creating benchmark models. - Designing and executing experiments to evaluate the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; comparing model outputs with empirical evidence or outputs from model benchmarks. - Documenting the findings of the model review and effectively communicating them to stakeholders. Model Governance: - Acting as the primary point of contact for model governance-related queries within the coverage area and facilitating the identification and escalation of issues to ensure timely and effective resolutions. - Providing guidance on the proper usage of models to model developers, users, and other stakeholders within the firm. - Staying informed about the ongoing performance testing results for models utilized in the coverage area and communicating these outcomes to stakeholders. - Maintaining the model inventory and model metadata for the coverage area. - Keeping abreast of the latest developments within the coverage area in terms of products, markets, models, risk management practices, and industry standards. Required qualifications, capabilities, and skills: - PhD or Masters degree in a quantitative discipline such as Math, Physics, Engineering, Computer Science, Economics, or Finance. - Proficiency in probability theory, stochastic processes, statistical/economic modeling, partial differential equations, and numerical analysis. - Understanding of options and derivative pricing theory and risks. - Proficient in Python, R, Matlab, C++, or other programming languages. - Possess a risk and control mindset with the ability to ask insightful questions, assess the significance of model issues, and escalate them appropriately. - Strong communication skills enabling effective interaction with front office traders and other functional areas within the firm on model-related matters; capable of producing documents for internal and external (regulatory) purposes. - Strong analytical and problem-solving abilities.,

Job Description: As a leader at a Fortune Global 500 organization, you will be responsible for advocating various data science teams on best practices surrounding the development and implementation of advanced analytic systems and predictive and prescriptive models. Working closely with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects, you will play a crucial role in creating and delivering insights from large and disparate data to enable confident business decisions. Your role will involve evaluating and adopting emerging technologies that support statistical modeling, machine learning, distributed computing, and run-time performance tuning to optimize processes and introduce new products and services to the market. Additionally, you will support senior leadership by planning and executing broad advanced analytics initiatives aimed at delivering value to both internal and external stakeholders. Furthermore, you may also be involved in managing people within the department. Responsibilities: - Lead and oversee the data analysts, data scientist team, machine learning engineers, and big data specialists to implement models and systems that provide optimal results and are scalable to meet future business needs. - Serve as a subject matter expert on UPS business processes, data, and advanced analytics capabilities to define problems, data, and model requirements using proven predictive and prescriptive techniques. - Maintain a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to develop strategies that support the creation, development, and delivery of analytic solutions aligned with business needs. - Prototype algorithms to ensure analytic results address problem statements and business requirements effectively. - Interpret and analyze large-scale datasets to uncover insights supporting the building of analytic systems and predictive models while experimenting with new and emerging techniques. - Identify and evaluate cutting-edge open-source, data science/machine learning libraries, data platforms, and vendor solutions to prioritize and plan data projects across the enterprise. - Provide thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, recommend courses of action, and design and implement solutions. - Advocate for best practices in the adoption of Cloud-AI technologies, open-source software, machine learning libraries/packages, and data science platforms to derive actionable insights empowering business decisions. - Communicate effectively with business customers and the senior leadership team with varying levels of technical knowledge, educate them about systems, and share insights and recommendations to inform business strategies. - Manage analytics projects/teams and act as a point of contact to ensure alignment of team actions and communication with stakeholders to keep projects on track with goals. Qualifications: - Ability to engage key business and executive-level stakeholders to translate business problems into high-level analytics solutions. - Extensive experience working with large-scale, complex datasets to develop machine learning, predictive, forecasting, and optimization models. - Proven track record of handling ambiguity, prioritizing needs, and delivering results in a dynamic environment. - Expertise in data management pipelines involving data extraction, analysis, and transformation using data querying languages (e.g. SQL, NoSQL, BQ) or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). - Hands-on experience in launching moderate to large-scale advanced analytics projects in production at scale; utilizing Cloud-AI technologies, machine learning frameworks, and enterprise data science platforms. - Ability to explain technical concepts to non-experts, strong analytical skills, attention to detail. - Direct experience in developing analytical solutions empowering business decisions and product creation using various techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP). - Excellent verbal and written communication skills with the ability to convey data through a story framework, present data-driven results to technical and non-technical audiences, and advocate technical solutions to diverse groups. - Master's Degree in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

The job involves driving strategic initiatives to enhance operational efficiency within the engineering service department. You will collaborate with cross-functional teams to analyze and interpret data for decision-making purposes. Your role will also include developing and implementing data models, databases, data collection systems, and other strategies to optimize statistical efficiency and data quality. Identifying trends and generating insights to drive key business recommendations will be a key aspect of your responsibilities. Additionally, you will provide leadership in data analysis and process improvement within the engineering service department. You will assist in preparing and delivering technical presentations to stakeholders to communicate analytical findings and recommendations. It is essential to stay updated on industry best practices and technological advancements to suggest improvements within the team. As a part of your responsibilities, you will lead strategic projects aimed at enhancing operational productivity within the engineering service department. Working collaboratively with various teams to analyze and derive actionable insights from data will be a crucial aspect of your role. You will design and implement data models and databases to enhance statistical efficiency, identify patterns and trends in data to make informed business decisions, and offer guidance on data analysis methodologies and process enhancements. Presenting analytical findings and recommendations through technical presentations will also be a part of your day-to-day tasks. To qualify for this role, you should hold a Bachelor's degree in Engineering, Computer Science, Data Science, or a related field. You must have proven experience in data analysis, statistical modeling, and interpretation within an engineering setting. Strong proficiency in data visualization tools and techniques is required. Excellent communication skills are essential, with the ability to convey complex data insights effectively. Leadership capabilities to drive initiatives and provide guidance in a team environment are also expected. Familiarity with industry-specific tools and technologies for data analysis and process optimization will be beneficial for this position.,

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow - people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. This position involves developing batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science and Machine Learning practices. You will assist in integrating data from various sources, both internal and external, performing extract, transform, load (ETL) data conversions, and facilitating data cleansing and enrichment. Additionally, you will be involved in full systems life cycle management activities, including analysis, technical requirements, design, coding, testing, and implementation of systems and applications software. The role also entails synthesizing disparate data sources to create reusable and reproducible data assets, as well as assisting the Data Science community in analytical model feature tuning. Responsibilities include contributing to data engineering projects and building solutions by leveraging foundational knowledge in software/application development, programming languages for statistical modeling and analysis, data warehousing, and Cloud solutions. You will collaborate effectively, produce data engineering documentation, gather requirements, organize data, and define project scopes. Data analysis and presentation of findings to stakeholders to support business needs will be part of your tasks. Additionally, you will participate in the integration of data for data engineering projects, understand and utilize analytic reporting tools and technologies, and assist with data engineering maintenance and support. Defining data interconnections between operational and business functions, backup and recovery, and utilizing technology solutions for POC analysis are also key responsibilities. Requirements for this role include understanding of database systems and data warehousing solutions, data life cycle stages, data environment scalability, data security, regulations, and compliance. You should be familiar with analytics reporting technologies, algorithms, data structures, Cloud services platforms, ETL tools capabilities, Machine learning algorithms, building data APIs, and coding using programming languages for statistical analysis and modeling. Basic knowledge of distributed systems and a Bachelor's degree in MIS, mathematics, statistics, computer science, or equivalent job experience are necessary qualifications. This is a permanent position at UPS, committed to providing a workplace free of discrimination, harassment, and retaliation.,

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. You will work closely with Global Quality and internal customers to perform data analysis in key metrics to monitor quality and reliability health, including DPM and Uncorrectable Error (UE) metrics. Additionally, you will work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution. Responsibilities And Tasks Include But Not Limited To: - Design and develop methods to extract and analyze unstructured diverse Backend & Front-end data. Perform data correlations to determine the Patterns and perform the first level of debug. - Translate raw data into compelling visual stories that highlight trends, anomalies, and opportunities for improvement. - Collaborate with business partners and multi-functional teams to drive detection, Corrective and Preventive Actions in line-of-sight metrics. - Work with multi-functional team to deploy BKMs of Back End to Front End collaboration process like WL DPM forecast and RMA DPM reduction, etc. - Lead multi-functional initiatives or enabling projects that support companywide quality objectives. - Manage the projects to enable the implementation path for new initiatives. - Strong verbal and written communication skills, able to communicate the analysis and present insights to business partners. Skills And Experience You Will Need: - MS/BS or equivalent experience in Electrical or Computer Engineering. - 3 to 8 years of experience in the following areas. - Good knowledge in Semiconductor Manufacturing, common semiconductor reliability tests, and failure mechanisms. - Fluency in Python and/or R, other statistical software including scripting capability for automating analyses. - Knowledge of using statistical tools, Unix, Tableau, Power BI, JMP. - Understanding of statistics applied to data analysis, especially in Quality and reliability. - Exposure to statistical modeling, feature extraction and analysis. Good to have - supervised/unsupervised/semi-supervised learning, integrating LLM into the production environment. About Micron Technology, Inc.: Micron Technology, Inc. is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.,

As a Data Science Manager, you will have the following key accountabilities: Team Leadership: You will be responsible for building and leading a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Your role involves fostering a collaborative and inclusive team culture that encourages innovation and continuous learning. Technical Communication: It is essential for you to effectively explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders. Business Understanding: Your solid business understanding will be utilized to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. You should ensure clear communication and understanding of project goals and outcomes. Key Qualifications: Educational Background: A PhD or Masters degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with a minimum of 8+ years of experience as a Data Scientist is required. Leadership Experience: You should have proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. Communication Skills: You must possess the ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. Strong problem-solving skills and an independent working style are also essential. Technical Expertise: Your role requires strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. Proficiency in analytical programming languages such as Python or R, along with their respective ecosystems, is necessary. Hands-on experience implementing these models in production systems and software development skills, including unit testing, CI/CD, and version control with Git are essential. Familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies is also expected. Preferred qualifications: Experience in the Media industry is a plus. Experience working with cloud-based data services (AWS, Azure, or GCP) is advantageous. Experience with Optimization techniques such as linear programming, integer programming, genetic algorithms, constrained optimization is a plus.,

As a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning at FIS, you will be part of a dynamic team that thrives on curiosity, motivation, and forward-thinking. Your role will involve utilizing cutting-edge AI technologies to tackle complex challenges in the financial services and technology sectors. You will be responsible for leveraging AIML concepts such as GenAI, LLMs, and Sentiment analysis to develop innovative solutions. This will involve establishing correlations between various data points and conducting predictive and preventive analyses to drive business outcomes. Working closely with our AIOPS team, you will contribute to the development of AIML solutions aimed at reducing Enterprise MTTR through a top-notch product. Your day-to-day tasks will include employing machine learning and statistical modeling techniques to enhance data-driven products, extracting actionable insights from diverse datasets, and transforming complex data into actionable information. To excel in this role, you should possess 4 to 6 years of experience in machine learning, artificial intelligence, statistical modeling, and data analysis. Proficiency in data science tools and programming languages such as SAS, Python, R, Scala, and SQL is essential. A relevant degree in Artificial Intelligence Machine Learning, as well as knowledge of cloud-based technologies and the financial services industry, will be advantageous. In return, FIS offers a comprehensive range of benefits to support your wellbeing and lifestyle. You will be part of a diverse and innovative team operating in a modern international work environment. Additionally, you will have access to professional education and personal development opportunities to further enhance your skills and career growth. Join us at FIS and be part of a team that values collaboration, entrepreneurship, and fun while making a meaningful impact in the world of AI and data science.,

You are a Data Scientist with a strong expertise in data analysis, machine learning, and visualization. Your proficiency lies in Python, Pandas, and Matplotlib, and you excel at building and optimizing data-driven models. If you have some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models, it would be considered a plus. Your responsibilities include analyzing and processing large datasets using Python and Pandas, developing and optimizing machine learning models for predictive analytics, creating data visualizations using Matplotlib and Seaborn to support decision-making, performing data cleaning, feature engineering, and statistical analysis, working with structured and unstructured data to extract meaningful insights, and implementing and fine-tuning NER models for specific use cases, if required. You will collaborate with cross-functional teams to drive data-driven solutions. To excel in this role, you should have proficiency in Python and data science libraries such as Pandas, NumPy, and Scikit-learn. Experience in data analysis, statistical modeling, and machine learning is essential. Hands-on expertise in data visualization using Matplotlib and Seaborn, along with an understanding of SQL and database querying, is required. Familiarity with NLP techniques and NER models will be an added advantage. Strong problem-solving and analytical skills are essential to succeed in this position.,

The Data Science Associate role at CRM Asia based in Bengaluru involves supporting the data science team in developing, implementing, and maintaining data-driven solutions that align with business objectives. Your duties include working with large datasets, creating data models, and analyzing data to offer insights and recommendations. You will collaborate with the data science team to address business needs through data-driven solutions. This will involve collecting, cleaning, and preprocessing large and complex datasets from various sources. Additionally, you will develop statistical models and predictive models to identify patterns and trends in data and analyze data to discover insights for business enhancement. Furthermore, you will communicate your findings and recommendations to key stakeholders in a clear and concise manner. Data visualization tools will be utilized to present complex data in an easily understandable format. It is essential to stay updated on industry trends and advancements in data science. Qualifications for this role include a Bachelor's or Master's degree in computer science, statistics, mathematics, or a related field. Proficiency in programming languages such as Python or R, experience with data manipulation tools like SQL and Excel, and knowledge of statistical modeling and machine learning techniques are required. Familiarity with data visualization tools such as Tableau or Power BI, excellent problem-solving skills, and strong communication and collaboration abilities are also necessary. For this position, proficiency in at least one programming language like Python, R, or SQL is essential. A solid understanding of statistics and mathematics is crucial, including knowledge of probability theory, statistical inference, and basic linear algebra. Data wrangling skills involving cleaning, transforming, and merging data, as well as knowledge of machine learning concepts and data visualization tools, are important requirements. Communication skills are key for explaining findings to stakeholders, and problem-solving skills are needed to identify and frame problems in a data-driven manner. It is vital to be aware of potential fraudulent job offers and understand that Capillary Technologies does not extend unsolicited employment offers or request fees from prospective employees during the recruitment process. CRM Asia is committed to an inclusive recruitment process and equality of opportunity for all job applicants.,

As an intern at Underpin Services, you will have the opportunity to collaborate with game designers and developers in designing, analyzing, and refining game mechanics and systems using mathematical models. Your responsibilities will include assisting in the creation of simulations and statistical models to predict and analyze game outcomes. You will be expected to perform data analysis to identify trends and insights that can directly inform game design decisions. Additionally, you will work on the mathematical aspects of random number generation (RNG) and probability distributions in games. Your input in providing feedback and suggestions on game features and mechanics from a mathematical perspective will be highly valued. It is crucial to stay up-to-date with industry trends and best practices in game mathematics and apply them effectively to ongoing projects. Underpin Services is a digital marketing consultancy and branding services company that prides itself as a trusted partner for businesses looking to thrive in the digital landscape. Join our dedicated team of experts who specialize in delivering tailored digital agency services to empower small businesses.,

As a Demand Planning Manager, you will be responsible for developing and implementing a global demand planning strategy that aligns with the supply chain objectives of the organization. Your key responsibilities will include designing, implementing, and refining standard demand planning processes, tools, and systems. You will also provide guidance and support to regional planning teams by offering training, sharing best practices, and building their capabilities. In this role, you will collaborate with various functions such as sales, marketing, finance, IT, and supply chain to ensure that demand forecasts are accurate and actionable. You will lead demand planning initiatives like scenario planning, demand sensing, and predictive analytics. Additionally, you will integrate planning processes with digital tools and promote the adoption of AI-driven solutions. Furthermore, you will work closely with global and regional planning leads to align processes and technology across different markets. Your proactive approach will involve identifying integration challenges between tools and processes to ensure smooth system adoption. You will also be responsible for monitoring key planning metrics, including forecast accuracy and inventory performance, and driving continuous improvements in these areas. To be successful in this role, you should have 7-10 years of experience in demand planning or related supply chain roles. You must possess a strong understanding of forecasting techniques, statistical modeling, and planning processes. Proficiency in tools such as SAP IBP, Kinaxis, o9, or similar platforms is essential, and familiarity with Blue Yonder will be considered a plus. Your ability to lead cross-functional initiatives and work effectively in matrixed environments will be crucial. Demonstrated success in implementing advanced planning technologies and enhancing planning maturity will also be valuable. A B.Tech degree along with a management degree from a Tier 1 B school are the required qualifications for this role. If you are looking for a challenging opportunity to drive global demand planning strategies and make significant contributions to the supply chain function of the organization, this role could be the perfect fit for you.,

As a Mathematical, Statistical, and Machine Learning Modeler at our organization, your role is vital in designing, developing, implementing, and supporting models and analytics that drive key business decisions. Your responsibilities include: Designing analytics and modeling solutions to address complex business challenges by leveraging your domain expertise. Collaborating with technology teams to define necessary dependencies for analytical solutions, including data, development environments, and tools. Developing highly effective, well-documented analytics and modeling solutions, showcasing their impact to business users and independent validation teams. Implementing models and analytics in reliable, well-tested software and working with technology partners to ensure their operational success. Providing continuous support to maintain the effectiveness of analytics and modeling solutions for end-users. Ensuring adherence to all Barclays Enterprise Risk Management Policies, particularly the Model Risk Policy, and conducting all development activities within the established control framework. In this role, you are expected to manage a significant business function, contributing to strategic initiatives, policy development, and complex projects. You will lead a large team or sub-function, fostering a performance-driven culture and aligning with the organization's values. Alternatively, as an individual contributor, you will lead projects across the organization, serving as a technical expert and thought leader, driving innovation and collaboration. Your responsibilities also include providing expert advice to senior management, overseeing resourcing and budgeting, managing policy creation, and ensuring compliance with regulations. You will monitor external environments, regulators, and advocacy groups to advocate on behalf of Barclays when necessary. Additionally, you are required to maintain in-depth knowledge of industry practices, market trends, and business integration to achieve overall objectives. As a Senior Leader, you must exhibit the Barclays leadership behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others. Furthermore, you are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive. Your role as a Mathematical, Statistical, and Machine Learning Modeler is crucial in driving data-driven decisions and ensuring the organizations success through innovative and effective analytics solutions.,

The ideal candidate will be responsible for managing all HR activities and operations within the organization. This includes overseeing recruitment, onboarding, employee relations, performance management, and compliance with HR policies and procedures. Additionally, the candidate will be expected to develop and implement HR strategies to support the organization's goals and objectives. Key responsibilities include: - Developing and implementing HR policies and procedures. - Managing the recruitment process from sourcing to onboarding. - Overseeing employee relations and ensuring a positive work environment. - Conducting performance management evaluations and providing feedback to employees. - Managing and resolving employee conflicts and issues. - Providing guidance and support to managers on HR-related matters. - Ensuring compliance with all relevant employment laws and regulations. Qualifications: - Bachelor's degree in HR or related field. - 3-5 years of HR experience. - Strong knowledge of HR best practices and employment laws. - Excellent communication and interpersonal skills. - Ability to work effectively in a fast-paced environment. Interested candidates can share their updated resume at @.,