Gurugram, Haryana, India
Open 5 months, first seen by us 164 days agoOwn data science projects from problem definition to deployment
Build, tune, and validate advanced ML and statistical models
Develop clean, production-ready code with reusable components
Synthesize insights from claims, prescription, lab, EMR and text data
Support client solution design and storyboarding
Own day-to-day execution of data science projects from problem definition to deployment
Build, tune, and validate advanced machine learning and statistical models
Develop clean, modular, and production-ready code with reusable components
Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text
Support client engagements through solution design and storyboarding
Open 5 monthsWe first saw this posting 164 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 164
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past ProcDNA’s usual: its jobs come down by about day 21.
From 11,783 similar postings that came down, and 5 of ProcDNA’s. Coming down is not always a hire.
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 3.5 - 5.5 years of hands on experience in Data Science and ML - Strong hands-on experience in Python, PySpark, and SQL for manipulating and handling large structured and unstructured datasets - Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques
- Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders - Exposure to MLOps frameworks, including MLflow, Docker, Airflow, or CI/CD pipelines, to automate model training, deployment, and monitoring in scalable production environments. - Qualification: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields
- Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques - Proficiency in data visualization (Power BI, Tableau, MS Office suite or equivalent) and in translating analytical results effectively. - Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job Overview
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?
As a Senior Data Scientist, 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.
Key Responsibilities
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Gurugram, Haryana, India
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