Senior Data Scientist

8 hours ago

Pune Maharashtra India, Maharashtra Altysys Full time

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 projects
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R
  • Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques
  • Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.)
  • Experience with data visualization tools: Power BI, Tableau, Matplotlib, Seaborn
  • Hands-on experience with cloud ML platforms (AWS SageMaker, Azure ML, Google AI Platform)
  • Excellent analytical, problem-solving, and communication skills


Good-to-Have Skills:

  • Experience in Deep Learning, NLP, or Time Series Analysis
  • Exposure to MLOps and CI/CD pipelines for ML deployment
  • Experience in Prompt Engineering, RAG, Context Engineering, or Agentic AI
  • Relevant certifications or strong project portfolios in Data Science / ML

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