Role : Manager Data Science.Doceree is the world's only AI-powered Operating System for healthcare marketing. We aim to be a catalyst for change, improving healthcare by enabling more meaningful interactions with HCPs. Our patented AI brings deeper context to every HCP touchpoint - understanding who HCPs are, what they're exploring, how they engage, and when they make decisions, all in a privacy-compliant way.About The Job : Position Title : Manager Data Science.We are looking for a hands-on Data Science Manager to lead a small, high-impact team of Data Scientists while continuing to contribute technically. You will help shape modeling approaches, review code and experiments, unblock productionization, and improve the operating cadence of the team.Lead, coach, and develop a team of 3-5 Data Scientists across senior and junior levels.- Remain hands-on : frame problems, inspect data, prototype and review models, challenge assumptions, review code/SQL, and step into difficult technical work when needed.- Own delivery discipline for the Data Science portfolio : translate product and business asks into well-scoped ML work, maintain Jira hygiene, drive prioritization and estimates, surface dependencies and risks.- Establish stronger standards for offline evaluation, backtesting, holdouts,



experimentation, calibration, monitoring, retraining, and post-launch measurement.- Work with AI Engineering and platform teams to productionize models as reliable services, pipelines, APIs, and features.- Help define the analytical and feature requirements for a unified clinical-intent data foundation.- Build a strong technical culture around reproducibility, peer review, documentation, feature quality, experiment tracking, model observability, and pragmatic MLOps.- Qualifications : - 7+ years of experience in Data Science / Machine Learning, including meaningful ownership of production ML systems and 1-2+ years of technical/team leadership.- B.Tech / M.Tech / PhD in a quantitative field.- Deep grounding in applied machine learning and statistics, including model validation, experimentation, causal/uplift methods, feature engineering, bias/leakage detection, calibration.- Strong Python and SQL skills, with hands-on experience using modern ML libraries (scikit-learn, PyTorch/TensorFlow) and large-scale data tools (Spark, Snowflake/Databricks).- Advantages : - Competitive Salary Package.- Generous Leave Policy.- Flexible Working Hours.- Performance-Based Bonuses.-

📌 Data Science and ML Manager (Noida)
🏢 Docerre
📍 Noida