4 Statistical Methodologies Jobs

As a key member of the GSK organization, you will be responsible for enhancing our disease understanding and shaping the future of the Asia Development Biostatistics function. Your role will involve utilizing statistical methods and machine learning techniques to support business critical projects and drive disease-aligned decision-making in R&D. By applying advanced statistical methodologies and collaborating with global functional groups, you will play a crucial role in optimizing analytical methods and ensuring robust evidence for informed decision-making. Your responsibilities will include identifying opportunities to enhance disease understanding, leading strategic projects within Asia Development Biostatistics, and presenting statistical principles and results to stakeholders at all levels. Additionally, you will interact with external scientific groups and vendors to contribute to innovation and the adoption of novel statistical methodologies within GSK Asia and the pharmaceutical industry. To be successful in this role, you should have a PhD in Statistics or a related field, along with a minimum of 10 years of experience in drug development and 5 years of experience in a leadership role. Your knowledge of the drug development process and demonstrated ability to influence positive change will be essential. Additionally, experience in applying various statistical methodologies, digital fluency, and strong communication skills will be beneficial for this position. If you are a proactive and driven individual with a passion for patients, a keen interest in clinical statistics, and a track record of delivering high-quality results under tight deadlines, we encourage you to apply. This role offers the opportunity to lead innovation in Asia Development Biostatistics and contribute to the success of GSK on a global scale.,

You will be responsible for providing statistical input to the design, analysis, reporting, and interpretation of clinical studies, as well as contributing to publications. Utilize SAS or other software to develop custom programming code for generating tables, data listings, graphs, and derived datasets as specified in the protocol or statistical analysis plan. Ensure that all outputs meet quality standards and project requirements. Perform validation programming and collaborate with other Programmers, Biostatisticians, and project team members to resolve any discrepancies or findings. Keep the project team informed of programming progress and any issues requiring their attention. Adhere to applicable SOPs and relevant regulatory guidelines. Manage scheduling and time constraints across multiple projects simultaneously. Set goals based on management priorities and adapt to timeline or priority changes by reorganizing daily workload. Prepare in advance for internal meetings, contribute ideas, and show respect for the opinions of others. Demonstrate willingness to collaborate with team members, assist with projects, and support initiatives as necessary to meet business needs. Negotiate and establish accurate time estimates for completing study activities with internal team members and statistical management. Ensure completion of project activities within the allotted timeframe. Assist in drafting regulatory submissions and stay updated with current literature and research new methodologies. Identify, develop, and implement novel statistical methodologies to support medicine development. Uphold scientific integrity and animal welfare in all activities. Interact with global statisticians and implement their recommendations locally. Create and maintain standard macros and applications to enhance department efficiency. Actively participate in process/quality improvement initiatives, standardization efforts, and other non-clinical activities. Contribute to mentoring other team members, develop training courses, present training materials, provide feedback, and guide new associates in the process. Engage in knowledge-sharing activities to foster a collaborative work environment.,

As a Decision Scientist at Salesforce, you will be a vital part of the Product Adoption team within the Customer Success Scorecard team. Your primary responsibility will be to evolve product adoption strategies and measure the value that our products bring to our customers. The Data and Analytics (DnA) team at Salesforce is dedicated to providing trusted data, insights, and artificial intelligence to support smarter decision-making. As a Decision Scientist, you will work closely with various stakeholders, including Renewals, Offers, M&A, Product, and Account Success teams, to discover innovative best practices that enhance customer value and satisfaction. In this role, you will be responsible for generating product insights to accelerate business growth by acquiring and cleaning data, building data models, analyzing insights, and distributing them to business leaders. You will have an experimentation mindset and work on measuring user experience through an experimental approach. Furthermore, you will partner with Senior Leadership to understand business challenges, advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies. Building and maintaining relationships with senior stakeholders, such as Business Leaders, Product Managers, User Researchers, and Customer Success teams, will be a key aspect of your role. Collaboration with the data engineering team and product engineering team is crucial for measuring the success of products. You will identify internal and external collaborators to curate data assets and deliver relevant and actionable data insights and products. Additionally, you will contribute to expanding Salesforce's data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and improving team processes. To be successful in this role, you should have at least two years of experience in product analytics or data science, or a master's degree in data science, statistics, applied mathematics, analytics, or a related field. Proficiency in common analytical programming languages like Python or R, SQL, statistical methods, data model design, and storytelling through various formats like slides, charts, and dashboards (e.g., Tableau) is essential. A graduate degree in Statistics or an MBA from a top university is strongly preferred. You should also be adept at planning projects, coordinating resources across teams, and ensuring deadlines and quality expectations are met.,

We are seeking a highly skilled Data Scientist with a strong background in the credit card domain to join our dynamic team in Dubai This is an exciting opportunity to work onsite with a fast-paced and growing startup, where you will leverage your expertise in Python, SAS, and advanced analytics to drive impactful business decisions You will play a pivotal role in analyzing large datasets, developing predictive models, and delivering actionable insights to stakeholders across product, risk, and marketing teams We are a new-age Data & Analytics firm offering contemporary solutions and infinite possibilities Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations Established in 2022, we provide end-to-end Data & Analytics services and are headquartered in the UAE, with operational bases in India and the UK Comprising industry veterans, we empower data and analytics transformations powered by expertise in Data Engineering, Analytics, AI, true partnership, and our unique Data to Value approach About the Role: We seeking a highly skilled and experienced Principal Data Scientist with specialized expertise in banking and financial services The successful candidate will lead innovative data science initiatives focusing primarily on marketing analytics, cross-sell strategies, and pricing models You will collaborate closely with cross-functional teams to address complex business challenges using advanced analytics, machine learning, and statistical techniques, significantly contributing to the business growth and success of our banking clients Key Responsibilities: Lead strategic, end-to-end data science projects in the banking domain, specifically focusing on marketing analytics, cross-selling, customer lifetime value modeling, and pricing strategies Design, develop, and deploy sophisticated machine learning models, predictive analytics, and statistical models to enhance marketing effectiveness and optimize pricing strategies Partner closely with business stakeholders to translate complex business challenges into actionable analytical solutions and clearly communicate analytical outcomes and insights Collaborate effectively with Data Engineering and Analytics teams to ensure robust data pipelines and seamless integration of analytical solutions Provide technical leadership, mentorship, and guidance to junior data scientists and analysts, fostering a culture of innovation, continuous learning, and excellence Present clear and impactful insights to senior stakeholders and business leaders, driving data-driven decision-making at the organizational level Continuously explore and incorporate emerging technologies and methodologies within data science, marketing analytics, and pricing strategies Required Skills & Qualifications: Masters or PhDdegree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline 6+ years of hands-on experience in advanced analytics/data science roles specifically within banking or financial services (mandatory) Demonstrated expertise in marketing analytics, cross-sell modeling, customer segmentation, pricing optimization, and customer lifetime value analytics Proficiency in SAS/ Python/R, SQL, and key ML frameworks and librariesStrong understanding of statistical methodologies, machine learning, deep learning algorithms, and data visualization tools Experience working with Dataiku is advantageous Exceptional problem-solving, analytical thinking, communication, and stakeholder management abilities