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.

With this enriched context, every message becomes clearer, more relevant, and more likely to drive better healthcare outcomes.

In our journey of 5 years, we have earned four patents for innovation and even won a Silver award at the Cannes Lions, one of the world’s top advertising honors. Over the years, we’ve also had the opportunity to work with 115+ pharma companies and collaborate with 30+ media publications, 150+ EHR platforms, 2,000+ publisher networks, and 35+ hospitals and health systems. Our ecosystem connects us with more than 6 million verified doctors worldwide.

Today, Doceree operates across 25+ countries, with teams based in Recent Jersey, London, and India.

Our Core Belief

Technology can connect the fragmented healthcare ecosystem to deliver information when it is most needed to improve patients' outcomes.

We are expanding our footprints across the globe and enhancing our services, offering, and developing recent products and solutions to address the unmet needs of industry. Doceree is operating in 22 countries currently with offices in US, UK and India.

Website http://www.doceree.com/

Social media link https://www.linkedin.com/company/doceree/

About The Job

Position Title: Manager Data Science

Department/Function: Product & Engineering

Job Scope: India

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.

The role sits at the intersection of machine learning, healthcare data, and programmatic advertising. You will oversee work spanning attribution and lift measurement, probabilistic identity, audience quality, benchmarking and evaluation, forecasting, engagement/CTR modeling, and other applied ML problems as the portfolio evolves.

You will also partner closely with Product, AI Engineering, Data/Platform Engineering, and external data partners as Doceree builds a more unified foundation for clinical-intent signals, HCP identity, anonymized patient-level data, claims-derived outcomes, and activation identifiers.

Key Responsibilities

- Lead, coach, and develop a team of 3-5 Data Scientists across senior and junior levels; set clear expectations, provide regular technical feedback, and help build a high-quality hiring pipeline as the team grows.
- 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, and ensure projects reach measurable outcomes rather than stopping at notebooks.
- Partner with Product Managers and business stakeholders to define success metrics, experimental designs, model acceptance criteria, and rollout plans for DS-driven capabilities.
- Guide the design and validation of models across classification, ranking, uplift/causal measurement, identity resolution, recommendation, anomaly detection, forecasting, audience scoring, graph-based methods, and related applied ML techniques.
- Establish stronger standards for offline evaluation, backtesting, holdouts, experimentation, calibration, monitoring, retraining, and post-launch measurement; ensure model performance is tied to business impact.
- Work with AI Engineering and platform teams to productionize models as reliable services, pipelines, APIs, and features that can be consumed by Daily Command and other Doceree products.
- Help define the analytical and feature requirements for a unified clinical-intent data foundation linking HCP-level signals, anonymized patient populations, claims/outcomes data, and identity/activation mappings; partner with data engineering on implementation rather than treating the DS team as the sole owner of platform engineering.
- 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 technical and non-technical stakeholders.

Qualifications Requirement: Experience, Skills & Education

- 7+ years of experience in Data Science / Machine Learning, including meaningful ownership of production ML systems and at least 1-2 years of technical leadership, team leadership, or player/coach management.
- B.Tech / M.Tech / MS / Ph.D. in Computer Science (From Tier 1 College), Statistics, Applied Mathematics, Economics, Engineering, or a related quantitative field.
- Deep grounding in applied machine learning and statistics, including model validation, experimentation, causal/uplift methods, feature engineering, bias/leakage detection, calibration, and evaluation under noisy real-world data.
- Strong Python and SQL skills,



with hands-on experience using modern ML libraries such as scikit-learn, PyTorch or TensorFlow and large-scale data tools such as Spark, Snowflake and/or Databricks.
- Experience taking models from problem definition through data preparation, experimentation, deployment, monitoring, and iteration in production.
- Demonstrated ability to manage multiple DS workstreams, work effectively with Product Managers and Engineering, and bring structure to ambiguous or changing requirements.
- Strong communication skills and the ability to review technical work rigorously while coaching scientists at different levels of experience.

Preferred Candidate

- Deep experience in programmatic advertising / AdTech, PharmaTech, healthcare analytics, or life sciences data. Candidates with strong AdTech backgrounds should understand concepts such as auctions, DSP/SSP ecosystems, identity, audience targeting, campaign telemetry, measurement, and experimentation.
- Experience with healthcare data such as claims, Rx, HCP/NPI identity, EHR-derived signals, patient-level de-identified datasets, attribution, or treatment/brand lift measurement.
- Experience with identity resolution, graph-based modeling, recommendation/ranking systems, causal inference, media measurement, audience modeling, or marketing optimization.
- Comfort working with cloud data and ML infrastructure on AWS and with modern MLOps practices.
- Working knowledge of GenAI/LLM systems is useful, but this role is intentionally weighted toward classical ML, statistics, experimentation, and data science depth rather than LLM application engineering.

Doceree India Benefits

Below are the competitive perks that will be provided to the selected candidates basis their location.

- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits

Doceree DEI Vision & Mission

Doceree DEI (Diversity, Equity & Inclusion) is to create and sustain a one team culture globally with a mission to provide equal prospect to people from diverse social, cultural, physical and psychological backgrounds and do not discriminate on the basis of race, colour, religion, national origin, sex, age, citizenship status, disability status, genetic information, sexual orientation, or gender identity or expression of an otherwise qualified individual, or membership in any other class protected by applicable law.

Doceree fosters an inclusive culture by inculcating a sense of belonging within our ONE team through appropriate behaviours, policies and systems, while also being fair to one and all.

To support this Doceree has taken formal strides with a 5C model and 4E's pledge, to ensure, encourage and exhibit our commitment to DEI, and move towards our DEI vision. Please click to know more details - Doceree Progresses Diversity, Equity and Inclusion in the Workplace –

DRIVEN BY PASSION, UNITED BY ENTHUSIASM

📌 Manager Data Science (Noida)
🏢 Doceree
📍 Noida