[India] Lead - Data Scientist

ProcDNA; Gurugram District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

ProcDNA is seeking a senior data scientist/lead to work with clients to translate business questions into well-scoped ML problems. You will design and oversee ML solutions across the pharma lifecycle and help bring models into production.

You will mentor a team of data scientists, maintain strong client relationships, and contribute to business development while staying current with GenAI advances.

Qualifications

• 5.5+ years hands-on data science and ML experience with 2+ years leading projects or teams.
• Degree in engineering, statistics, mathematics or related quantitative field.
• Experience with life sciences data and pharma domain is preferred.
• Strong stats, supervised/unsupervised ML, DL, GenAI concepts, production deployment.

Responsibilities

• Translate business questions into well-scoped data science problems and define approach and success metrics.
• Design and oversee ML solutions across the pharma commercial lifecycle and production deployment.
• Own client communication, relationships, and thought leadership for business decisions.
• Quality-check team work and guide models to production through cross-team collaboration.
• Lead project delivery across timelines, scope, and team allocation.
• Mentor and manage a team of data scientists and stay updated with field advancements.
• Contribute to business development via proposals, POCs, and reusable offerings.

Skills

Data science

Machine learning

Python

SQL

Databricks

PySpark

AWS/Azure

Team leadership

Client-facing

Pharma domain

Education

Bachelor's or Master's in engineering, statistics, mathematics

Tools

Databricks

PySpark

AWS

Azure

Komodo

IQVIA

Symphony

Job description

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients.We're a passionate team of 470+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle. Instead, you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?

What are we looking for

What you'll do:

• 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

Must have:

• 5.5+ years of hands-on experience in data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting.
• A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field.
• Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab and other HCP, account or patient-level data.
• Strong depth in Statistics, supervised and unsupervised ML, Deep learning and GenAI concepts, along with experience in deploying models to production.
• Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure.
• A track record of owning client communication and explaining results to non-technical stakeholders.
• Experience in guiding and managing a team of data scientists.