Roles and Responsibilities :

- Work with clients to translate business questions into well-scoped data science problems, and define the approach, data requirements and success measures.

- Design and oversee ML solutions across the pharma commercial lifecycle, and choose methods that fit the data and the decision they support.

- Own client communication and relationships, and provide thought leadership to support their business decisions.

- Quality-check the team's work and guide models to production through cross-team collaboration.

- Lead project delivery across timelines, scope and team allocation, often across parallel engagements.

- Mentor and manage a team of data scientists,



and keep yourself and the team current with advancements in the field for collective growth.

- Contribute to business development and internal capability building through proposals, POCs and reusable offerings, and help the practice grow

Job Requirements :

- 5.5-8 years of experience in healthcare or pharmaceutical industry with expertise in data science.
- Robust proficiency in machine learning algorithms including classification, clustering, segmentation, modeling etc. .
- Experience working with big data technologies like Hadoop/Hive/Pig/Spark is required.

📌 Lead Data Scientist (Gurugram)
🏢 Procdna Analytics
📍 Gurugram