Job Title : Senior Data Scientist
Location : Hyderabad / Pune
Experience : 8+ Years (Senior Level)
Compensation : ₹2.6 Lakh per month
Qualification : Bachelor’s / Master’s
Data Science, Artificial Intelligence & Machine Learning (AI / ML), Statistics, Mathematics, or related fields
About the Role :
We are looking for an experienced Senior Data Scientist to lead and deliver advanced analytics and AI / ML solutions. The ideal candidate will work on large-scale datasets, build production-grade machine learning models, and collaborate closely with business, engineering, and product teams to drive data-driven decisions.
Roles & Responsibilities
- Analyze large and complex datasets to uncover actionable insights and patterns
- Design, develop, and optimize Machine Learning and AI models for predictive and prescriptive analytics
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions
- Build and maintain data pipelines; perform data wrangling using Python, R, and SQL
- Communicate insights through effective data visualization and storytelling
- Evaluate, monitor, and continuously improve model performance
- Deploy and manage ML / AI models on cloud platforms (AWS, Azure, or GCP)
- Ensure data quality, governance, and compliance with organizational standards
Must-Have Skills :
8–10+ years of hands-on experience in Data Science / Machine Learning / AI projectsStrong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or RDeep understanding of machine learning algorithms, statistical modeling, and data mining techniquesStrong SQL skills and experience with data pipelines (Airflow, Spark, etc.)Experience with data visualization tools : Power BI, Tableau, Matplotlib, SeabornHands-on experience with cloud ML platforms (AWS SageMaker, Azure ML, Google AI Platform)Excellent analytical, problem-solving, and communication skillsGood-to-Have Skills :
Experience in Deep Learning, NLP, or Time Series AnalysisExposure to MLOps and CI / CD pipelines for ML deploymentExperience in Prompt Engineering, RAG, Context Engineering, or Agentic AIRelevant certifications or strong project portfolios in Data Science / ML