Sanofi
* Design, develop, and deploy predictive models and analytical solutions using Dagster/Airflow and DBT workflows to drive data-informed market access and pricing decisions. Hands on experience with R and/or Python is required.* Architect and maintain scalable datasets that integrate with existing data engineering infrastructure and support cross-functional analytical needs* Create interactive dashboards and reports using business intelligence tools that translate complex data into actionable insights for stakeholders* Perform advanced statistical analysis on patient longitudinal data and large customer datasets to identify trends, patterns, and strategic opportunities* Develop and implement machine learning algorithms to enhance forecasting capabilities and predictive analytics across market access functions* Collaborate closely with the data engineering team, SQL developers, and analytics product management to ensure data quality, pipeline efficiency, and business alignment* Serve as the technical bridge between data engineering infrastructure and business-facing analytics, ensuring seamless integration of analytical solutions* Partner cross-functionally with Pricing, Contract Development, Value and Access, Account Management, Finance, Forecasting, and Data Management teams to drive strategic initiatives* Communicate complex analytical findings through compelling data narratives and visualizations tailored to diverse audiences* Continuously evaluate and implement emerging methodologies and technologies in data science to advance the team's predictive capabilities* Demonstrated experience working with workflow orchestration tools (Dagster, Airflow, or similar) to productionize analytical models* Proven track record of translating business problems into data science solutions that drive measurable outcomes* Experience collaborating with data engineering teams and contributing to data pipeline development- 5+ years of experience in data science or advanced analytics within Pharmaceutical or Payer organizations
5+ years of hands-on experience building and deploying predictive models and machine learning solutions on large-scale datasets* Advanced proficiency in Python or R for statistical modeling, machine learning, and data analysis* Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) and predictive modeling techniques* Hands-on experience with workflow orchestration platforms (Dagster, Airflow, Prefect, or similar)* Proficiency in SQL for complex data manipulation and working with relational databases* Expertise in data visualization tools (Tableau, Power BI, or similar) and creating executive-level dashboards
Experience with cloud platforms (Kubernetes) and modern data stack technologies* Strong foundation in statistical methods, experimental design, and A/B testing* Understanding of MLOps principles and model deployment best practices* Deep understanding of pharmaceutical market access, pricing strategies, and reimbursement dynamics* Experience analyzing longitudinal patient data, claims data, and formulary datasets* Working knowledge of the US healthcare system, payer landscape, and regulatory environment* Familiarity with healthcare data standards (e.g., NDC, HCPCS, ICD codes, IQVIA)* Exceptional problem-solving abilities with a structured, hypothesis-driven approach* Strong communication skills with ability to translate complex technical concepts for non-technical stakeholders* Proven ability to manage multiple analytical projects simultaneously and meet deadlines* Collaborative mindset with experience working across data engineering, product management, and business teams* Detail-oriented with strong organizational and project management capabilities* Self-directed learner who stays current with emerging data science methodologies and technologies* Ability to mentor and provide technical guidance to developers and junior analysts**Education**:* Bring the miracles of science to life alongside a supportive, future-focused team.* Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or a lateral move, at home or internationally.* Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.* Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave. #J-18808-Ljbffr
5+ years of hands-on experience building and deploying predictive models and machine learning solutions on large-scale datasets* Advanced proficiency in Python or R for statistical modeling, machine learning, and data analysis* Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) and predictive modeling techniques* Hands-on experience with workflow orchestration platforms (Dagster, Airflow, Prefect, or similar)* Proficiency in SQL for complex data manipulation and working with relational databases* Expertise in data visualization tools (Tableau, Power BI, or similar) and creating executive-level dashboards
Experience with cloud platforms (Kubernetes) and modern data stack technologies* Strong foundation in statistical methods, experimental design, and A/B testing* Understanding of MLOps principles and model deployment best practices* Deep understanding of pharmaceutical market access, pricing strategies, and reimbursement dynamics* Experience analyzing longitudinal patient data, claims data, and formulary datasets* Working knowledge of the US healthcare system, payer landscape, and regulatory environment* Familiarity with healthcare data standards (e.g., NDC, HCPCS, ICD codes, IQVIA)* Exceptional problem-solving abilities with a structured, hypothesis-driven approach* Strong communication skills with ability to translate complex technical concepts for non-technical stakeholders* Proven ability to manage multiple analytical projects simultaneously and meet deadlines* Collaborative mindset with experience working across data engineering, product management, and business teams* Detail-oriented with strong organizational and project management capabilities* Self-directed learner who stays current with emerging data science methodologies and technologies* Ability to mentor and provide technical guidance to developers and junior analysts**Education**:* Bring the miracles of science to life alongside a supportive, future-focused team.* Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or a lateral move, at home or internationally.* Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.* Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave. #J-18808-Ljbffr