[India] Lead - Data Scientist
ProcDNA (company site, opens in a new tab)5.5+ yrsGurugramOn-siteDirect career pageEst. 20–32 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data science engagements in pharma commercial analytics, from problem definition to ML solution delivery and operationalization.
- Lead and mentor a team of data scientists, overseeing technical decisions, model quality, and project delivery across multiple engagements.
- Drive client relationships, provide thought leadership, and contribute to practice growth via business development and capability building.
Minimum Requirements
- 5.5+ years of hands-on data science and ML experience with at least 2 years in leadership roles within pharma consulting or client-facing settings.
- Bachelor's or Master's degree in engineering, statistics, mathematics, or relevant quantitative field.
- Experience with life sciences data types such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab, HCP, account or patient-level data.
- Strong proficiency in Statistics, ML (supervised, unsupervised, deep learning, GenAI), Python, SQL, and cloud/distributed platforms (Databricks, PySpark, AWS/Azure).
Ideal Candidate Profile
- Experienced in pharma commercial analytics with ability to translate business problems into data science solutions and manage client communications effectively.
- Proven leadership in managing data science teams, ensuring quality and delivery across multiple concurrent projects.
- Capable of driving growth in a consulting practice through technical expertise, client engagement, and business development activities.