Senior 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 New 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 new 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: Senior Data Science

Department/Function: Product & Engineering

Job Scope: India

Reporting to: CAIO

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

- Extract entities and attributes from heterogeneous sources — warehouse tables, registries and feeds, and documents such as literature and trial registries that must be parsed before linking.
- Design and implement probabilistic entity linking and deduplication across multiple large, inconsistent healthcare datasets.
- Own the linking pipeline end to end - pairwise and graph-based scoring, calibrated match probabilities, resolution into stable entities - working alongside existing data scientists to maintain and improve the algorithms already running in production.
- Define how link quality is measured: precision and recall, calibration, error analysis by source and segment, and confidence thresholds per downstream use.
- Link entities and attributes to controlled medical vocabularies, so specialties, conditions and products mean the same thing across sources.
- Use graph representations and graph ML as core linking tools — clustering over candidate-link graphs, centrality, community detection, link prediction, and embeddings for candidate retrieval.
- Build and maintain the data and graph estate - warehouse transformation, refresh, monitoring - and keep raising the performance of existing algorithms as sources, volumes and downstream needs change.

- Qualifications Requirement: Experience, Skills & Education
- Experience: 4+ years shipping production ML or data-science work, including hands-on entity linking, entity resolution or record linkage at scale.
- Languages: Python (production-grade, tested, type-hinted), strong SQL.
- Software Engineering: FastAPI, Docker, pytest, Git and CI/CD — code others can run, test and deploy without you in the room.
- Probabilistic Methods: match scoring and calibration, threshold selection,



and evaluation where ground truth is scarce.
- Graphs: comfort treating linking itself as a graph problem — graph algorithms (connected components, centrality, community detection) and graph ML (embeddings, GNNs) — and a view on what it takes to run graphs at hundreds of millions of edges rather than in memory.
- Data & ML Engineering: warehouse-centric pipelines, ETL over large public and licensed datasets, extraction from semi-structured and document sources, scalable blocking, vector search, incremental refresh and data-quality monitoring.
- Stack: Snowflake or another distributed SQL warehouse (BigQuery, Databricks, Redshift); PyTorch Geometric or DGL; igraph/NetworkX; Splink; and a graph store you have run at scale, e.g. Amazon Neptune, Neo4j/Cypher, or an RDF/SPARQL store.

Preferred Candidate

- Nice to Have: medical ontologies and controlled vocabularies (MeSH, UMLS, SNOMED, RxNorm); prescribing or claims data; healthcare sources such as NPPES/NPI, PubMed or ClinicalTrials.gov; biomedical NLP; AdTech experience and deduplicated reach measurement; regulated-setting work with PII constraints.

Doceree India Benefits Below are the competitive benefits 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

📌 Senior Data Science (Noida)
🏢 Doceree
📍 Noida