Manager - Data Science
First seen by Alion on Nov 12, 2026.
Role : Manager Data Science.
About Doceree :
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.
Location : Noida, India.
Work Setting : WFO.
Purpose of the Job.
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. This is not a coordination-only management role. You will help shape modeling approaches, review code and experiments, unblock productionization, and improve the operating cadence of the team.
Key Responsibilities :
- 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.
- Partner with Product Managers and business stakeholders to define success metrics, experimental designs, model acceptance criteria, and rollout plans.
- Guide the design and validation of models across classification, ranking, uplift/causal measurement, identity resolution, recommendation, anomaly detection, forecasting, audience scoring, graph-based methods.
- 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.
- Communicate model behavior, trade-offs, limitations, and business implications clearly to senior stakeholders.
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).
- Demonstrated ability to manage multiple DS workstreams and bring structure to ambiguous requirements.
Benefits :
- Competitive Salary Package.
- Generous Leave Policy.
- Flexible Working Hours.
- Performance-Based Bonuses.
- Health Care Benefits.
Skills
Data Science, Data Scientist, Spark, Snowflake DB, Machine Learning, Python, PyTorch, SQL