Senior Data Scientist

Senior Data Scientist

Key Responsibilities

• Model Development:

  Design, train, and deploy machine learning and statistical models to solve complex business problems.

• Data Strategy:

  Drive experimentation, data exploration, and innovative approaches to extract actionable insights.

• Feature Engineering & Pipelines:

  Build robust data pipelines and feature stores for scalable model deployment.

• Business Partnering:

  Translate business challenges into data science problems and communicate insights to non-technical stakeholders.

• Tooling & Infrastructure:

  Work with engineering teams to ensure models are production-ready, scalable, and monitored.

• Mentorship:

  Guide junior data scientists and analysts, sharing best practices in ML, experimentation, and coding standards.

• Continuous Improvement:

  Stay ahead of advancements in ML/AI research, tools, and frameworks, and bring cutting-edge approaches into practice.

What We’re Looking For

• 6–10 years of experience in

  data science / machine learning

  roles, with hands-on exposure to end-to-end ML lifecycle.
• Strong proficiency in

  Python / R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.)

  .
• Experience in

  data wrangling, large-scale data analysis, and distributed systems (Spark, Hadoop, etc.)

  .
• Solid grounding in

  statistics, probability, optimization, and algorithms

  .
• Track record of delivering measurable business impact through data science solutions.
• Strong communication skills to explain technical findings to non-technical teams.
• Master’s/PhD in Computer Science, Statistics, Applied Mathematics, or related field preferred.