Data Scientist - I

About ProcDNA

ProcDNA is a global consulting firm. Wefuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged;it's ingrained in our DNA. Ready to join our epic growth journey.

What are we looking for

As a Data Scientist- I, you will play a key role in delivering end-to-end data science solutions across pharmaceutical and healthcare engagements. The role demands a blend of technical depth, business acumen, and scientific curiosity. You will translate complex business problems into analytical frameworks, develop scalable machine learning and statistical solutions, and generate actionable insights that drive commercial, clinical, and operational impact for clients and patients worldwide. Beyond technical execution, you are expected to think strategically, framing business challenges, designing analytical approaches, and guiding clients toward the most effective data-driven decisions.

What You'll Do

• Own day-to-day execution of data science projects from problem definition to deployment, ensuring methodological rigor, business relevance, and timely delivery
• Build, tune, and validate advanced machine learning and statistical models, including supervised techniques (classification, regression, uplift), unsupervised methods (clustering, PCA, GMM), transformer models, and analytical frameworks (hypothesis testing, causal inference, survival analysis) using industry-standard libraries
• Develop clean, modular, and production-ready code with reusable components, adhering to best practices in version control, documentation, and scalable pipeline design for deployment in production or client-facing environments
• Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text, into clear narratives driving client decisions tailored to patient, HCP, and market contexts
• Collaborate with consultants, domain experts, and engineers to structure analytical workflows that answer complex commercial or clinical questions.
• Present findings and insights to internal and client stakeholders in a clear, structured, and actionable manner.
• Actively participate in client discussions, supporting solution development and storyboarding for business audiences
• Contribute to internal capability building through reusable ML assets, accelerators, and documentation to strengthen the team's solution portfolio.

Must have

Preferred Skills

Qualifications

Skills : docker,machine learning,python,models,ml flow,framework,design,ml,data science

Skills Required

Airflow, Machine Learning, Power Bi, Pyspark, Tableau, Sql, Docker, snowflake , Data Visualization, Databricks, Azure, Python, Aws