Senior Manager, Data Science

Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsSenior Manager, Data ScienceHyderabad - TS - INApply NowFind out how well you match with this jobUpload your resumeJob descriptionLife at BMSWorking with UsChallenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.Position SummaryBMS Digital Health is seeking a Senior Manager, Data Science to build and deliver hands-on, code-first analytics and algorithm development using wearable and sensor-derived longitudinal data . This role is for a data scientist who thrives in the details—owning work end-to-end from raw signals to validated outputs—spanning time-series QC, preprocessing, artifact handling, imputation, feature engineering, and modeling across accelerometry/actigraphy and cardio-respiratory signals (e.g., HRV, SpO₂). The ideal candidate enjoys writing production-quality Python in orchestration environments, applying rigorous validation, and collaborating across internal and external partners.This is a highly hands-on individual contributor role. You will spend a significant portion of your time coding, debugging, reviewing PRs, and building reproducible pipelines and models.What You’ll Do (Hands-on Responsibilities)Build and maintain Python pipelines for wearable time-series data, including:QC, preprocessing, and sensor artifact removalImputation (baseline through advanced methods) and feature engineering based on clinical concepts of interestEDA and signal characterization for accelerometry/actigraphy, HRV, and SpO₂Signal processing and signal detectionDevelop and validate models for longitudinal sensor data using:Frequency / time-frequency representations, digital filtering, and representation learningQuantitative characterization of physiological and clinically meaningful measures provably associated with disease progression or subtyping. Deep learning approaches (Transformers and/or ensembles) with model explainability techniques where appropriateApply statistically rigorous approaches to repeated-measures data:Longitudinal statistical modeling (e.g., mixed effects / hierarchical models)Study-appropriate strategies for within-subject dynamics and missingnessImplement strong evaluation practices and reproducible research standards:Nested CV, LOO, and/or OOB methods where appropriateReproducible experimentation, documentation, and well-structured codebasesCollaborate actively with internal stakeholders...