3811 Data Science Jobs - Page 27

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Title: Lead Data Scientist Mode of work : Remote Responsibilities Design and implement data-driven solutions to optimize customer experience metrics, reduce churn, and enhance customer satisfaction using statistical analysis, machine learning, and predictive modeling. Collaborate with CX teams, contact center operations, customer success, and product teams to gather requirements, understand customer journey objectives, and translate them into actionable analytical solutions. Perform exploratory data analysis (EDA) on customer interaction data, contact center metrics, survey responses, and behavioral data to identify pain points and opportunities for CX improvement. Build, validate, and deploy machine learning models for customer sentiment analysis, churn prediction, next-best-action recommendations, contact center forecasting, and customer lifetime value optimization. Develop CX dashboards and reports using BI tools to track key metrics like NPS, CSAT, FCR, AHT, and customer journey analytics to support strategic decision-making. Optimize model performance for real-time customer experience applications through hyperparameter tuning, A/B testing, and continuous performance monitoring. Contribute to customer data architecture and pipeline development to ensure scalable and reliable customer data flows across touchpoints (voice, chat, email, social, web). Document CX analytics methodologies, customer segmentation strategies, and model outcomes to ensure reproducibility and enable knowledge sharing across CX transformation initiatives. Mentor junior data scientists and analysts on CX-specific use cases, and participate in code reviews to maintain high-quality standards for customer-facing analytics. Skill Requirements Proven experience (at least 6+ years) in data science, analytics, and statistical modeling with specific focus on customer experience, contact center analytics, or customer behavior analysis, including strong understanding of CX metrics, customer journey mapping, and voice-of-customer analytics. Proficiency in Python and/or R for customer data analysis, sentiment analysis, and CX modeling applications. Experience with data analytics libraries such as pandas, NumPy, scikit-learn, and visualization tools like matplotlib, seaborn, or Plotly for customer insights and CX reporting. Experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, and familiarity with deep learning libraries (TensorFlow, PyTorch) for NLP applications in customer feedback analysis and chatbot optimization. Solid understanding of SQL and experience working with customer databases, contact center data warehouses, and CRM systems (e.g., PostgreSQL, MySQL, SQL Server, Salesforce, ServiceNow). Familiarity with data engineering tools and frameworks (e.g., Apache Airflow, dbt, Spark, or similar) for building and orchestrating customer data ETL pipelines and real-time streaming analytics. (Good to have) Knowledge of data governance, data quality frameworks, and data lake architectures. (good to have) Exposure to business intelligence (BI) tools such as Power BI, Tableau, or Looker for CX dashboarding, customer journey visualization, and executive reporting on customer experience metrics. Working knowledge of version control systems (e.g., Git) and collaborative development workflows for customer analytics projects. Strong problem-solving skills with customer-centric analytical thinking, and the ability to work independently and as part of cross-functional CX transformation teams. Excellent communication and presentation skills, with the ability to explain complex customer analytics concepts to non-technical stakeholders including CX executives, contact center managers, and customer success teams. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Key Skills: DAO - AI/ML, Automation, Python, big query, Project Management, Agile, SDLC,JAVA, SQL Role & responsibilities 8+ years of experience in Data Science / Preferable in Automobile Engineering Domain SKILLS: Professional Skill: Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge Work simplification - methods that maximize output while minimizing expenditure and cost. Analytics with Data - interprets data and turns it into information which can offer ways to improve a business Communication - Good verbal communication and interpersonal skills are essential for collaborating with customers Technical Skills: Python/Numpy, Seaborn, Pandas, Selenium, Beautiful Soup (basic), Spotfire, ML Libraries, RPA, R, Iron-Python, Html CSS, Javascript, SQL, HQL, Git/Gitlabee, Spark, Scala, Webservices, Spotfire/ Tableau, JIRA Tool Skill: Project management tools, Documentation tools, Modeling [wireframe] tools Database Skills: MsSQL, Postgres, MsAccess, Mongo DB Rigorous - The ability to analyse qualitative data quickly and rigorously Adaptability - Being able to adapt to changing environments and work processes

Role and Responsibilities: Development, deployment, and optimization of ML, NLP models, and LLM/GenAI solutions Develop and maintain Python-based ML pipelines and manage associated databases Deploy AI models on Azure/AWS, ensuring performance and scalability Mentor team members and stay updated on advancements in ML, NLP, and GenAI Implement LLMOps best practices for efficient model lifecycle management Suitable candidates can share their resume at hr41@hectorandstreak.com

Job Description: Are you a data enthusiast with a passion for transforming raw data into actionable insights? We are seeking a talented Data Scientist to join our dynamic team. As a Data Scientist at Intellimind, you will play a pivotal role in leveraging AI, ML, and big data analytics to drive data-driven decision-making and generate tangible business value. Key Responsibilities: Manage, architect, and analyze large datasets to create data-driven insights and high-impact models that drive business growth. Develop predictive statistical models and utilize mathematical tools and techniques to solve complex business problems. Translate business challenges into specific requirements, identify relevant data sources, and deliver analytic solutions. Implement new predictive and prescriptive solutions aligned with business needs and requirements. Lead the development and delivery of large-scale programs that integrate processes with technology to enhance performance. Take ownership of end-to-end big data solutions, including data acquisition, storage, transformation, and analysis. Manage specific project areas or entire projects, working as both an individual contributor and overseeing small work efforts. Work autonomously with minimal supervision, demonstrating strong problem-solving skills. Qualifications & Skills: Bachelors or master’s degree in a relevant field from a well-known top university. 2-3 years of experience in data science and analytics, including AI and ML projects. Proficiency in statistical techniques and machine learning algorithms. Hands-on experience with analysis tools such as R and Python. Understanding of Text Analysis and Natural Language Processing (NLP). Knowledge of AWS Platform. Proficiency in VBA and visualization tools like PowerBI and Quicksight Solid understanding of statistical modeling, machine learning algorithms, and data mining concepts. Advanced proficiency in Excel and PowerPoint. Exceptional written and oral communication skills. Strong interpersonal skills and the ability to collaborate across diverse teams and cultures. Done several projects as related to Data Scientist If you are a data-driven problem solver with a passion for transforming data into meaningful insights, we invite you to join our team and contribute to our mission of delivering high-impact data solutions that provide a competitive advantage for our stakeholders.

AI & Robotics Trainer | B.E./B.Tech or M.E./M.Tech | Freshers welcome | Training provided | Teach AI, coding & robotics | Travel across Coimbatore | Strong in Tamil & English | Competitive salary Flexi working Travel allowance Annual bonus Performance bonus Capability building program

About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6-8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications.

Data Scientist - Multi-Touch Attribution (MTA)Job Title: Data Scientist - Multi-Touch Attribution (MTA) Location: Bangalore (3 days work from office) Experience: 3+ years About the Role We are looking for a skilled Data Scientist to lead our Multi-Touch Attribution (MTA) modelling efforts. This role will be instrumental in accurately measuring the impact of each marketing channel and touchpoint on user conversions and business outcomes. You will work closely with marketing, growth, and data engineering teams to develop attribution frameworks, enable budget optimisation, and enhance ROI measurement. Key Responsibilities Develop and implement algorithmic attribution models to quantify the impact of various marketing touchpoints. Apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate online and offline signals. Work with large-scale marketing datasets including impressions, clicks, conversions, and engagement metrics. Partner with marketing teams to improve channel efficiency and campaign planning based on attribution insights. Conduct model validations using holdout experiments and out-of-sample testing to ensure reliability. Automate model scoring and reporting pipelines to provide real-time attribution visibility. Create intuitive dashboards and documentation to communicate findings and influence strategic decisions. Qualifications: 3+ years of experience in data science, marketing analytics, or attribution modelling. Strong hands-on experience with Python, SQL, and relevant data science libraries. In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay. Solid understanding of digital marketing channels and customer journey analytics. Experience with model validation, experimentation design, and lift analysis. Strong problem-solving and communication skills with a product mindset.

Data Scientist/ Pricing Analyst - Personalised PricingAbout the Role We are seeking a Data Scientist or Pricing Analyst to lead our Personalised Pricing initiatives - designing and scaling pricing strategies tailored to individual user behaviour, preferences, and demand elasticity. This role involves developing intelligent pricing models that adapt to real-time signals and customer context, to maximise revenue while enhancing user satisfaction. Youll work cross-functionally with product, engineering, and marketing teams to experiment, validate, and operationalise personalised pricing mechanisms. Key Responsibilities Develop and deploy personalised pricing models using historical behaviour, purchase intent, segmentation, and contextual data. Apply advanced statistical and machine learning techniques to estimate demand curves and user-level price sensitivity. Design and execute pricing A/B tests, analyzing lift, revenue impact, and user experience trade-offs. Develop dynamic pricing frameworks that adjust in real-time based on inputs such as location, time, inventory, and user cohorts. Collaborate with engineering teams to integrate models into pricing engines and user-facing platforms. Communicate findings clearly to business stakeholders and make data-backed pricing recommendations. Must-Have Qualifications 3-6 years of experience in data science, pricing, or quantitative strategy roles. Strong programming skills in Python and SQL; experience with libraries like scikit-learn, stats models, or XGBoost. Deep knowledge of pricing analytics, revenue management, and behavioral economics. Experience in building predictive models for conversion, elasticity, or revenue uplift. Ability to synthesize complex data into actionable strategies with business impact. Strong experimentation mindset with familiarity in causal inference and A/B testing methodologies.

Technical Programme Manager Back to job search results Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Permanent Apply by 13-Jul-2025 About the role Technical Programme Managers (TPMs) deliver complex, cross-functional technology programmes that support colleagues and help serve our customers better. They work collaboratively, influence Product, Engineering and business colleagues and lead the programme to deliver value quickly and often. What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role s key responsibilities and measures: Deliver programmes with business and/or technical risks Optimise or use a standard programme delivery methodology for delivering programme goals (e.g. agile, waterfall, iterative) Bring together, coordinate, and energise virtual technology teams to deliver programme goals Create and track a plan to deliver the programme goals, including the technical implementation plan Understand trade-offs and resulting impacts; make impacts visible to Product, Infrastructure or Engineering for the right decision to be made Managing dependencies, delivery timelines and implementations plans, using my knowledge of technical architecture Appreciating and responding to delivery challenges, using my knowledge of engineering best practices and/or infrastructure implementations Understand technology concepts, grasp new ones quickly and appreciate their implications on delivery Effectively manage major incidents, ensuring stakeholders are updated with the right information to drive the correct decisions Build positive relationships with suppliers & external stakeholders to deliver software or professional services Coach peers and other roles, teaching where required, on methodologies and programme management tools This role will best suit an individual who enjoys working as part of a team, is well organised, pragmatic and a lateral thinker with an inquisitive mind who is motivated to make change for the better and, most importantly, puts our customers first. You will need An ideal candidate must have demonstrated below key skills in their current and past roles A proven record of accomplishment in delivering large programs at global scales. Experience of building credible relationships and influencing senior & leadership teams Excellent verbal and written communication skills you must be able to articulate complex concepts to a diverse audience The ability to influence without authority. Flexibility, ability to plan and organise, responsiveness, self-starter Demonstrate resilience during change and continue delivery About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built. Apply

Description SDIE Data Science Location : Chennai, India Required Language : English Employment Type : Permanent Seniority Level : Mid Senior Level Travel : Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman works proactively and collaboratively with its worldwide customers in pulp and paper, leather, and water treatment to deliver exceptional service and innovative specialty chemical solutions to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment. Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this. Buckman is seeking an experienced Data Scientist to lead the development of a Data Science program. You will work closely with Buckman stakeholders to derive deep industry knowledge across paper, water, leather, and performance chemical industries. You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers, and augmenting capabilities with additional internal hires. A large part of the job is communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve old problems in unique and novel ways. You will not have a large internal team to rely on, at least initially, so individual expertise, breadth of data science knowledge, and ability to partner with external companies will be essential for success. In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions. If you like working for an entrepreneurial company with a Sustainability mission and digital ambitions at the core of its strategy, Buckman is the place for you. Basic Qualifications Bachelor s degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science 7+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization and expertise in the following areas: A demonstrated record of success with a verifiable portfolio of problems tackled Preferred qualifications Master s or PhD degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science Experience in the specialty chemicals sector or similar industry Background in engineering, especially Chemical Engineering Experience starting up a data science program Experience working with global stakeholders Experience working in a start-up environment, preferably in an IoT company Knowledge in quantitative modeling tools and statistical analysis Personality Traits A strong business focus, ownership and inner self-drive to data science solutions to real-world customers with tangible impact. Ability to collaborate effectively with multi-disciplinary and passionate team members. Ability to communicate with a diverse set of stakeholders Strong planning and organization skills, with the ability to manage multiple complex projects A life-long learner who constantly updates skills #LI-SS1

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Experience : 4 to 8 years Mandatory skills for an SME Content Development Proactive in continuous learning Prior experience at L&D , content development, conducting workshops, teaching technical sessions Mandatory technical skills for Data Science SME Programming in Python with a strong hands-on experience Hands-on experience in Data Analytics Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc. Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc. Machine Learning: Supervised and unsupervised algorithms Advanced Machine Learning: Bagging and Boosting Techniques Time Series Analysis: ARIMA, SARIMA, Holt-Winters model etc. Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM Natural Language Processing: Text Processing NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI Value-add: BI tools like PowerBI Data Engineering with Azure Cloud Services If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

We are seeking a highly skilled Excel Specialist (Data Analyst) to join our team. This role focuses on leveraging advanced Microsoft Excel capabilities to analyze data, create reports, and support decision-making processes. The ideal candidate is a master of Excel, with expertise in complex formulas, data visualization, and automation, and thrives in transforming raw data into actionable insights. Key Responsibilities Data Analysis : Utilize advanced Excel functions (e.g., VLOOKUP, INDEX-MATCH, PivotTables, array formulas) to analyze large datasets and identify trends, patterns, or anomalies. Reporting & Visualization : Design and maintain dynamic dashboards, charts, and reports using Excels charting tools, conditional formatting, and PivotCharts to present data clearly to stakeholders. Data Management : Clean, organize, and validate data in Excel to ensure accuracy and consistency, including handling large datasets from multiple sources. Automation : Develop and implement Excel macros and VBA scripts to automate repetitive tasks, streamline workflows, and improve efficiency. Modeling : Build financial, operational, or statistical models in Excel to support forecasting, budgeting, or scenario analysis. Collaboration : Work with cross-functional teams (e.g., finance, operations, marketing) to gather requirements and deliver tailored Excel-based solutions. Documentation : Create and maintain documentation for Excel processes, templates, and macros to ensure scalability and ease of use. Training & Support : Provide guidance and training to team members on Excel best practices and advanced techniques. CTC is fixed 3.25 Lakhs. In Hand salary is 27K. Medical insurance will be provided additionally.

Description Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a Lead Business Analyst, Insights in our Analytics Centre of Excellence who works in the Hotels team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to our product teams and business leaders, operations team through providing insights, recommendations, and enabling data driven decisions. This role is a part of the Hotels team, which includes HotelTonight. We are a fun, entrepreneurial team where you can have an outsized impact. Simplicity is at the core of our products. We pride ourselves on delivering the smoothest and most intuitive hotel booking experience for guests. HotelTonight, an Airbnb company, provides guests great hotels at amazing prices by helping hotel partners sell unsold inventory. The Difference You Will Make: Business Analyst will help set up a team at Airbnb with a focus on building a functional vision and championing the use of data in making key business decisions. A Typical Day: Build and update dashboards in Tableau and Looker to drive actionable insights and self-service for stakeholders. Acts as a consolidation point for all Supply related data analysis needs and data integrity issues. Investigates data quality issues reported by business and finds solutions/fixes Collaborates with data engineering and data science to investigate such data issues Interfaces with data engineering to drive prioritization and accountability of data needs. Build a case for necessary resources within data engineering to support Supply data needs. Ensures data quality and data integrity to manage Supply data assets to be analysis ready. Automate routine reporting to dashboards with advanced filtering and deep dive capabilities. Establish standards for metadata/ taxonomy, metrics, query, reports and scorecards. Creates specifications and generates reports and analysis mapping to business needs. Provide consultation and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using databases and reporting tools. Push for continuous improvement when it comes to best in class data visualization. Ad-hoc reporting and analysis to support key Supply initiatives. Provide actionable data-driven recommendations to stakeholders’ business questions Stakeholder management: Develop measurement strategies and reporting of key business metrics for multiple audiences including senior leadership Collaborate with leaders and managers to determine and address data and reporting needs for various company projects Enable the function as an analytics consultant: Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes Prepare reports/dashboards/build actionable insights: Create, maintain, and communicate detailed reporting models to assist regional and global operations, managers Independently work on deep insightful analysis and advanced analytics Provide solutions to business problems through quick ad-hocs analysis with deep insights Provide robust analytical solutions through advanced/statistical analysis Your Expertise: A minimum of 8 years of overall experience. Graduate in Economics, Business, Engineering, or other quantitative focus. Expertise with Tableau with minimum 2 years experience in building enterprise level dashboards. Excellent SQL skills and expertise in Microsoft Excel and various business intelligence and analytical tools and comfortable using Git and Python Expert with using Google Suite i.e. Google Sheets, Google Slides. Passion for Data Visualization and driving user adoption of dashboards. Exposure/ expertise in Snowflake database and LookML Design and build data pipelines to automate flow of data from various sources to power dashboards and critical analyses Impeccable attention and commitment to creating clean reproducible code. Strong analytical capabilities & logic driven mindset. Understanding of data gathering, inspecting, cleansing, transforming, and modeling / diagramming techniques. Experience with data mining and cleaning, exploratory analysis, visualizations and metrics creation Rich experience in insightful data analytics and good knowledge of statistical analytics like random forest regression / variable importance determination Excellent time management skills and ability to prioritize work. Flexibility to adapt to changing requirements to meet stakeholder needs. Our Commitment To Inclusion & Belonging : Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. Hybrid Work Requirements & Expectations: To support productivity and maintain a professional hybrid work environment, employees are expected to adhere to the following: Workspace : A dedicated, quiet, and private workspace free from interruptions and external noise Internet Connectivity : During the working hours, maintain a minimum and consistent internet speed of 10 Mbps on your official devices to ensure reliability for work-related tasks, including calls and virtual meetings Professionalism: Employees must remain fully engaged, respectful, and maintain a professional presence during virtual meetings, with video participation required unless otherwise approved. Confidentiality & Security: Employees are responsible for protecting Airbnb’s Intellectual Property and Confidential Information. Work-related activities, including calls and meetings, must not be conducted in public places, while traveling, or in any setting that may compromise confidentiality or work quality.

Exp with Spark, Flask, SQL, Python, Cloud platform, Machine Learning, Deep Learning & Engineering aspects of ML model deployment, data analysis, mathematics/probability, & statistical analysis. Mail us- info@a1selectors.com

Responsibilities: Design and deliver technical training programs Collaborate with stakeholders on curriculum development Conduct hands-on exercises and assessments Maintain up-to-date knowledge of emerging technologies

Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. What do we expect? 6-10 years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Experience in Time Series Forecasting Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas.

Skills required: Strong technical foundation in AI/ML, Data Science, Generative AI, AI Tools and Prompt Engineering. Ability to guide students in building projects and portfolios in relevant technologies. Must be able to confidently explain and simplify any concept in the mentioned technologies for diverse age groups and academic levels. Excellent communication skills in English and Hindi (both verbal and written). Strong planning and time management abilities. Strong public speaking and presentation skills Comfortable handling large groups and tailoring delivery methods to suit different institutions. Excellent stakeholder management handling clients, academic institutions, and internal teams. Willingness to take up training responsibilities as required. Role & responsibilities Lead Training Sessions: Deliver engaging and practical training sessions on AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering across colleges, schools, and premier institutions . Mentorship & Team Training: Train, guide, and mentor junior trainers from PHN Technology, ensuring content and delivery consistency. Content Development: Develop and continuously update training materials, live projects, and demos in line with current trends in AI/ML, Data science, GenAI Travel Readiness: Willingness and ability to travel extensively across India for conducting workshops and sessions as per schedule. Preferred candidate profile We are looking for a passionate and technically sound professional with a strong foundation in AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering . The ideal candidate should have a minimum of 5+ years of relevant experience in teaching, corporate training, or industry roles. A strong command over communication (both verbal and written) in English and Hindi is essential, along with the ability to clearly explain and simplify complex concepts to learners across diverse age groups and academic levels. Candidates should possess excellent public speaking and presentation skills , and be comfortable delivering sessions to large groups while tailoring the content as per institutional needs.

Description: Globallogic is looking for enthusiastic and self-motivated freshers to join our team on a contractual basis. This is an excellent opportunity to gain hands-on experience and build a strong foundation in a professional work environment. Requirements: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written Job Responsibilities: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Machine Learning, NLP, Deep Learning, GenAI LLMs, Prompt Engineering, RAG, Chatbots, GPT Python (Pandas, NumPy, Scikit-learn, XGBoost) Agentic AI, DDD, TDD, Hexagonal Architecture Terraform, Docker, REST/gRPC APIs, Git, Cloud (AWS/GCP/Azure)

Position Title: Business Head Admissions Department: Business Development & Admissions Reporting To: Director Strategy & Operations Location: Technovalley HQ, Kochi (with occasional travel as required) Type: Full-Time About Technovalley Advanced Knowledge Services Technovalley is a global leader in advanced technology consulting and certification, delivering globally recognized IT certification programs in partnership with top international organizations. Our programs are structured under four specialized stacks: Cybersecurity & Digital Forensics Data Science & AI Software Development & DevOps Cloud & Infrastructure Technologies We aim to shape careers by offering authentic, high-standard, industry-ready certifications and practical training for both aspiring professionals and working individuals. Position Overview As the Business Head – Admissions , you will be responsible for achieving ambitious business targets for student admissions across the four program stacks. You will lead a high-performance admissions team, strategize student acquisition campaigns, build ethical enrollment processes, and ensure the delivery of accurate program guidance to prospective students. This role demands leadership, integrity, a strong sense of responsibility, and the ability to mentor and manage teams that uphold the academic and professional credibility of Technovalley. Key Responsibilities 1. Admissions Strategy & Target Ownership Own and drive the admissions business plan with clear monthly, quarterly, and annual targets. Design and implement effective lead generation and conversion strategies across digital, on-ground, and institutional outreach channels. Monitor daily and weekly funnel metrics, forecast enrollment numbers, and take corrective actions to meet targets. 2. Team Leadership & Development Recruit, train, and mentor Academic Advisors and Admissions Officers. Ensure team members provide clear, ethical, and accurate program counseling without misrepresentation or aggressive sales tactics. Establish and enforce performance metrics, feedback loops, and regular reviews to maintain accountability and excellence. 3. Student-Centric Admissions Process Oversee the development of student guidance protocols that emphasize career alignment and program suitability. Build and sustain trust-based relationships with prospects, parents, and institutional partners. Establish frameworks to identify and address student concerns during the pre-admission and onboarding stages. 4. Compliance & Quality Assurance Ensure that all admissions operations strictly follow internal SOPs and external regulatory standards. Prevent misinformation or exaggerated promises by establishing content guidelines and team compliance audits. 5. Collaboration & Reporting Coordinate closely with Program Heads, Marketing, and Academic Operations to align admissions messaging with delivery. Deliver periodic reports on admissions pipeline, conversion ratios, market feedback, and team performance to the leadership team. Qualifications & Requirements Mandatory: Bachelor’s or Master’s Degree in Business Administration, Education Management, or a related field. Minimum 5 years of proven experience in leading admissions/business development teams in the higher education, edtech, or training sectors. Track record of selecting, training, and grooming high-performing advisors with zero tolerance for unethical counseling. Preferred: Experience in selling global standard IT certification programs. Exposure to international markets or student recruitment in a multi-geography context. Understanding of B2C and B2B2C sales cycles in the academic domain. Skills & Attributes: Strong leadership, team building, and people management skills. Analytical thinker with a result-driven mindset. Excellent communication, presentation, and interpersonal skills. Deep integrity and student-first mindset. What We Offer Competitive compensation and performance-linked incentives. Leadership role in a fast-growing global IT education organization. Access to world-class training, certification, and personal development resources. Opportunity to create significant educational and career impact for thousands of students.

Relevant skillset: Strategic Planning and Direction Maintain architecture principles, guidelines and standards Project & Program Management Data Warehousing Big Data Data Analytics & Data Science for solutioning Relevant technology domains: Experience in designing & implementing solution in mentioned areas: Strong Google Cloud Platform Data Components BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc Professional Summary Strong Experience in Big Data- Data Modelling, Design, Architecting & Solutioning Understands programming language like SQL, Python, R-Scala. Good Python skills, - Experience from data visualisation tools such as Google Data Studio or Power BI Knowledge in A/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Good To Have:- Expert in Big Query, Dataproc, Data Fusion, Dataflow, Bigtable, Fire Store, CloudSQL, Cloud Spanner, Google Cloud Storage, Cloud Composer, Cloud Interconnect, Etc. Relevant Certifications Certifications: Google Professional Cloud architect

Job Title: Geoinformatics Engineer - Digital Earth Twin (On-Site) Department: Geo-Spatial Engineering / R&D Location: On-site - Sonipat Why this role exists We are building a high-fidelity digital twin of Earth that fuses real-time and archival data from NASA, ISRO, ESA, commercial constellations, IoT feeds, and in-house sensors. You will be the technical anchor who transforms raw geospatial big data into an interactive 3-D globe powered by Cesium for Unreal and served to analysts, modelers, and decision-makers across domains. What youll do 3-D Earth-Twin Engineering ingest multi-resolution imagery, DEMs, and vector layers; texture and stream them into Unreal + Cesium; optimize LOD, tiling, and photogrammetry workflows. Spatial Data Science & Pipelines design ETL pipelines (Python + Spark/Dask) that clean, convert, and enrich TB-scale raster & point-cloud datasets; automate with Airflow/Luigi. GIS Application Development – build analytic tools & plugins in QGIS, Bhuvan 3D, Google Earth Engine, and custom web-GL viewers; expose REST/OGC services and GraphQL endpoints Programming & Scripting – write production-grade Python (PyProj, GeoPandas, Rasterio, GDAL, CesiumJS), C++ Blueprints in Unreal, and occasional JavaScript for Cesium front-end tweaks. Collaboration & Documentation – partner with remote-sensing scientists, DevOps engineers, product managers; author design docs, RFCs, and user guides; mentor junior Geo-devs. Must-have qualifications 3–6 years professional experience in geoinformatics, GIS software development, or 3-D geospatial visualization. Hands-on mastery of QGIS, Cesium (JS & for Unreal), Google Earth / Earth Engine, and ISRO’s Bhuvan 3D ecosystem. Python for spatial data science —GeoPandas, Rasterio, Shapely, PyProj, GDAL, PostGIS/PGRouting; comfortable with distributed compute (Spark, Dask, or Ray). Proven work on digital twins, 3-D city/planet models, or game-engine-based GIS (Unreal Engine and/or NVIDIA Omniverse). Experience integrating satellite/remote-sensing data (NASA’s Landsat & MODIS, ISRO’s CartoSAT & Resourcesat, Copernicus Sentinel, LiDAR, SAR). Solid grasp of map projections, CRS transformations, tiling schemes, OGC standards (WMS/WFS/WCS/3D Tiles) . Version control (Git), CI/CD basics, Linux shell fluency, and Agile/Scrum participation. Nice-to-have skills Cloud-native geospatial stack: AWS S3 + Lambda, Google Cloud Storage + BigQuery GIS, or Azure Maps. Real-time data streaming (Kafka, MQTT) and time-series databases (InfluxDB, Timescale). GPU acceleration (CUDA, Vulkan) or point-cloud engines (Potree, entwine). Basic ML/AI for feature extraction (CNN, segmentation) using TensorFlow/PyTorch. Knowledge of C++ gameplay programming, blueprint scripting best practices, and performance profiling in Unreal. Foundational knowledge expected from any Geoinformatics Engineer Geodesy & survey fundamentals : ellipsoids, geoids, datum transformations. Photogrammetry & LiDAR principles : bundle adjustment, point-cloud classification. Spatial statistics & analytics : kriging, hotspot analysis, network analysis. Cartographic design : color theory, symbology, scale, annotation. Remote-sensing basics : spectral indices, radiometric correction, atmospheric correction. Database design for spatial data: indexing (R-Tree), topology rules, and ACID vs. eventual consistency trade-offs.

Mandatory skill :- ML model design, Python, anomaly detection, exp with time series or classification. Cyber Security domain exp is mandatory. statistical techniques and concepts (regression, properties of distributions, statistical tests Required Candidate profile Should be proficient in TensorFlow, PyTorch, Keras and Natural Language Processing (NLP) is essential. share the profile at jayalakshmi@aeliuscityhr.com

Research Assistant (CADS) Sri Sathya Sai Institute of Higher Learning (SSSIHL) Research Assistant (CADS) The Center of Excellence for Actuarial Data Science (CADS) Advertisement No: SSSIHL/24-25/CADS/ACA/059 13 July 2025 Project Tenure: 1 Year (renewed end of the year) Full-time (Men applicants) ESSENTIAL QUALIFICATIONS & EXPERIENCE Master s degree in M.Sc. / M.Tech. in Computer Science or Data Science or MCA/ M.Sc. in Actuarial Science or B.Sc. in Actuarial Science with a minimum of 2 actuarial exams passed Good academic performance in relevant fields from a recognized University/Institute Research-oriented mindset with a focus on academic excellence Ability to integrate modern learning tools and research methodologies Proficiency in English and ability to mentor students effectively Commitment to SSSIHL s code of conduct and values-based integral education system KEY RESPONSIBILITIES The candidate will be required to carry out the following tasks under the guidance and supervision of the Senior Professor Pallav Kumar Baruah and Adjunct Professor Satya Sai Mudigonda: Data Analysis and Modeling : Develop and implement statistical models to analyze large datasets for actuarial applications. Research and Development : Conduct cutting-edge research in actuarial data science, focusing on risk assessment, predictive modeling, and financial forecasting. Collaboration : Work closely with actuaries, data scientists, and other researchers to integrate data-driven insights into actuarial practices. Publication and Reporting : Publish research findings in reputable journals and present results at conferences and seminars. Mentorship and Guidance : Provide guidance to junior researchers and contribute to the academic growth of the research team. Industry Liaison : Engage with industry stakeholders to translate research outcomes into practical solutions for actuarial challenges. Selected Candidates will be encouraged to register for a Ph.D. in Actuarial Data Science as and when SSSIHL invites applications. HOW TO APPLY SSSIHL/24-25/CADS/ACA/059 STEP 2 Attach your detailed resume (must include details of Ph.D. qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional) STEP 3 Scanned copies of all certificates/documents related to your educational qualifications and professional experience Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements. SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview. All applicants are required to ensure that all the information submitted (Resume, Annexure form and documents) is accurate and correct for scrutiny If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable.

Description & Requirements Role Overview: We are seeking a proactive and skilled Microsoft Power Platform Specialist to join our team. This role is ideal for someone with hands-on experience in Microsoft Power Automate , and ideally, familiarity with Microsoft Copilot agents . Experience with Power Pages is a strong plus. You will play a key role in automating business processes, enhancing user experiences, and driving digital transformation initiatives across the organization. Key Responsibilities: Design, develop, and maintain automated workflows using Microsoft Power Automate . Collaborate with business stakeholders to gather requirements and translate them into scalable automation solutions. Leverage Microsoft Copilot agents to enhance productivity and user interaction with business systems (where applicable). Build and manage secure, responsive, and user-friendly portals using Power Pages (nice to have). Monitor and optimize existing flows and solutions for performance, reliability, and scalability. Provide documentation, training, and support to end-users and internal teams. Stay current with Microsoft Power Platform updates and best practices. Required Skills & Experience: Proven experience with Microsoft Power Automate (cloud flows, desktop flows, connectors, approvals, etc.). Understanding of Power Platform architecture , including Dataverse, Power Apps, and Power BI. Familiarity with Microsoft Copilot agents or other AI-driven automation tools. Strong problem-solving skills and ability to work independently or in a team. Excellent communication and stakeholder engagement skills.