Senior Data Scientist

Job Title: Senior Data Scientist

Location:

Experience:

Compensation:

Qualification:

Data Science, Artificial Intelligence & Machine Learning (AI/ML), Statistics, Mathematics, or related fields

About the Role:

Senior Data Scientist

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