Senior Data Scientist

Key Responsibilities:

• Collect, preprocess, and analyze large datasets from multiple sources.
• Develop and optimize machine learning models for classification, regression, clustering, or recommendation systems.
• Collaborate with cross-functional teams to define business problems and deliver measurable solutions.
• Perform feature engineering, model evaluation, and hyperparameter tuning.
• Communicate insights through visualizations and storytelling (Power BI, Tableau, or similar tools).
• Deploy and monitor ML models in production environments (AWS, Azure, or GCP).
• Stay updated with
•  the latest trends in AI/ML and data engineering.

Required Skills & Qualifications:

• Bachelors or Master’s degree in Computer Science, Statistics, Data Science, or related field.
• Strong programming skills in

  Python

   (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with

  SQL

   and

  data pipelines (ETL)

  .
• Proficiency in

  machine learning algorithms

   and

  statistical modeling

  .
• Familiarity with

  cloud platforms

   (AWS SageMaker, Azure ML, GCP Vertex AI).
• Experience with

  data visualization

   tools (Power BI, Tableau, Matplotlib, Seaborn).
• Excellent problem-solving and communication skills.