• You will work daily with cross-functional teammates to translate user requirements, wireframes, and feature specifications into data science solutions that support mission needs. • You will develop, test, and refine analytic models and workflows, contribute to automated and end-to-end testing, and help estimate the level of effort for new enhancements or requirements. • You will also serve as a technical mentor to other team members and engage with mission partners as needed to ensure solutions are practical, effective, and aligned to operational objectives.

• Drive the mission forward. • Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions. • Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines. • Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work. • Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production. • Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy.

Company Description About Redcare Pharmacy: As Europe's leading online pharmacy, Redcare Pharmacy is driven by our dedicated teams and the latest innovations. We strive to create a pleasant and collaborative working environment in which every employee feels comfortable and is happy to contribute to our vision: "Until every human has their health". If you are looking for a meaningful career that matches your values, join our team and start your #Redcareer today. About the role As a Senior Data Scientist, you will play a key role in building production-grade data science and machine learning solutions that directly influence critical business decisions and customer experiences. You will work on one of our high-impact products, partnering closely with product, engineering, and business teams. Rather than focusing on isolated analyses, you will be involved in products end to end — from problem framing and data quality to modeling, deployment, and ongoing monitoring in production. This role is designed for a strong generalist who enjoys working across domains, applying solid statistical and machine-learning foundations to real-world problems, and turning ideas into reliable systems. Job Description About your tasks - Work in a product with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and domain experts to translate business problems into data-driven solutions. - Design, build, and operate end-to-end data science and machine learning solutions, from initial problem definition to production and iteration. - Work hands-on with complex, real-world datasets, addressing challenges such as data quality, missing data, bias, and changing data distributions. - Develop, evaluate, and improve statistical and machine-learning models, making well-reasoned trade-offs between model complexity, performance, scalability, and maintainability. - Design and analyze A/B tests and experiments, including hypothesis definition, metric selection, statistical evaluation, and interpretation of results. - Define and implement robust evaluation frameworks, including appropriate baselines, metrics, and validation strategies. - Support bringing models into production using our cloud-based stack and ensuring they are reliable, monitorable, and maintainable over time. - Communicate results, assumptions, and uncertainty clearly, enabling informed decision-making rather than black-box outputs. - Support the team by sharing knowledge, setting best practices, and acting as a technical sparring partner for other data scientists. Qualifications About you - You have several years of hands-on experience as a Data Scientist, working on machine learning or advanced analytical problems in production. - You have a strong foundation in statistics and machine learning and can apply it pragmatically to real-world problems. - You understand how to combine offline model evaluation with online experimentation to assess real-world impact. - You enjoy working close to the business and can explain complex topics clearly to non-technical stakeholders. - You take ownership, work proactively, and are comfortable navigating ambiguity. - You are curious and eager to learn, but also careful and conscientious in how you work. - You value collaboration, give and receive feedback openly, and enjoy helping others grow. Additional Information About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: - Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. - Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. - Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. - Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. - Personal development: Grow! We support and encourage your individual development through various in- and external trainings. - And many more :) - Remote Type: Tech, Product, IT & Data

Description and Requirements MGCC GG 10.1 - Data Modeller I Position Title: MGCC GG 10.1 - Data Modeller I Function, Responsibility Level: Reports to (Responsibility Level): GG 11 or above Supervises: Location:Noida Global Grade: 10.1 Cost Center (85 series): Complexity: OSTG PID/s Load Mapping: Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science Role Value Proposition: Data Modeler plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate expertise in conceptual, logical and physical data modeling and translate business requirements to data. It is an individual contributor role. Job Responsibilities • Translate business requirements into scalable data model designs.• Design and maintain logical, physical data models to support business and analytics needs.• Ensure data model consistency, integrity and adherence to best practices • Develop and optimize dimensional data models for performance, scalability and deployment in on-prem and cloud (Azure Synapse, Databricks) for analytical processing• Perform data profiling and validation to ensure models accuracy & completeness• Build and maintain data dictionaries, metadata repositories and ER diagrams.• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) Knowledge, Skills and Abilities Education Bachelor's degree in computer science, information technology or equivalent educational qualification Technical Skills and Experience • 3-5+ years of relevant experience • Data modeling tools such as ERwin • SQL/NOSQL for schema design , validation and optimization• Dimensional modeling (3NF,star schema, snowflake)• Relational databases (SQL, Oracle) Cloud platforms (Azure Synapse, Databricks, Cosmos DB)• Designing models for ETL and analytics workflows• API Design and Ingestion (REST, SOAP, JSON, XML).• Normalization, denormalization principles and performance tuning techniques• Communication skills, analytical skills, structured problem-solving skills., Good to Have (Preferred) • Exposure to Gen AI technology and tools About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! #BI-Hybrid