Data Scientist
Skills
About the role
Job Description: Data ScientistCompany Overview
At ProcDNA, we leverage data, analytics, and cutting-edge technology to drive impactful business decisions for our clients. We are looking for an experienced, hands-on Data Scientist to join our team in Kharadi, Pune. If you thrive on solving diverse machine learning problems, possess a strong analytical mindset, and love translating complex data into business impact, this role is for you.
Role Overview
As a Data Scientist, you will work across multiple client engagements, requiring both depth and breadth in machine learning problem-solving. This is a strictly hands-on role. We are looking for active Data Science practitioners with recent, continuous experience building and deploying models, rather than professionals who have transitioned primarily into Data Engineering or Data Analytics management.
Key Requirements & Eligibility
Experience: 4–6 years of relevant Data Science experience (Exceptional candidates with 3.5+ years will be considered).
Recency: Must be currently working as a Data Scientist or have very recent hands-on experience.
Domain: Pharma/Healthcare experience is preferred but not mandatory. We welcome strong ML talent from any industry; your technical expertise is what matters most.
Location: Kharadi, Pune (On-site/Hybrid as per company policy).
Technical Skills & Core Competencies### Machine Learning & Modeling
Supervised & Unsupervised Learning: Deep understanding of classification and regression models.
Model Lifecycle: Hands-on experience with Feature Engineering, Model Evaluation, Validation, and Deployment concepts.
Libraries: Advanced proficiency in Python and core ML libraries (e.g., Scikit-Learn, XGBoost, LightGBM).
Data & Analytics
Data Manipulation: Expert-level Python and SQL for data extraction and preprocessing.
Statistics: Strong grasp of Statistical Analysis, Hypothesis Testing, and Exploratory Data Analysis (EDA).
Predictive Analytics: Ability to transform raw data into forward-looking insights.
Preferred Project Experience
The ideal candidate should possess a diverse portfolio. Your experience should not be limited to a single use case. We are looking for hands-on exposure across multiple areas, such as:
Forecasting & Predictive Modeling
Customer/Patient Segmentation
Churn Prediction & Retention Analytics
Event Prediction & Recommendation Systems
Multi-class Classification Problems
What We Are Looking For Must Have:
Active, daily hands-on experience in a Data Scientist capacity.
Crystal-clear understanding of core ML fundamentals and the ability to explain methodologies and business impact intuitively.
A proven track record of solving a variety of distinct machine learning problems.
Not Preferred:
Candidates whose Data Science experience is old and who are currently working exclusively in Data Engineering or Data Analytics roles.
"Single-use-case" specialists (e.g., individuals who have only done forecasting or only worked on text extraction for years).
Pay: ₹599,082.29 - ₹1,786,342.75 per year
Benefits:
Health insurance
Paid sick time
Provident Fund
Work Location: In person
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