Lead Data Scientist
ProcDNA · Gurugram · onsite · Posted 9d ago
About a minute. You'll make an account on the way through.
About this role
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.
- Strong proficiency in machine learning algorithms including classification, clustering, segmentation, modeling etc. .
- Experience working with big data technologies like Hadoop/Hive/Pig/Spark is required.
Sourced from naukri
Skills
About ProcDNA

ProcDNA
IT Services & Consulting
180
employees
2019
7 years old
San Francisco, California
EC
₹11.5L PA avg
Avg at ProcDNA
₹20L – ₹35L PA
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