Senior Data Science Consultant - Optimization Projects

8 - 10 years

7 - 10 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

  • Lead and execute data science projects focused on operational optimization from concept to deployment
  • Design and implement mathematical models to improve process performance, decision-making, and resource utilization
  • Apply linear programming, mixed-integer programming, and heuristic/metaheuristic techniques to real-world problems
  • Collaborate with cross-functional stakeholders to define project objectives and translate them into data-driven solutions
  • Develop data pipelines and apply statistical and machine learning methods to derive insights
  • Clearly communicate technical solutions and findings to both technical and business audiences
  • Mentor junior team members and contribute to the growth of internal best practices and knowledge sharing

Required Skills and Qualifications:

  • Master's or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related field
  • Minimum 8 years of hands-on experience in data science with a strong focus on optimization
  • Proficient in Python (NumPy, Pandas, SciPy, Scikit-learn) and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX
  • Strong SQL skills and experience building and working with robust data pipelines
  • Proven experience delivering end-to-end internal optimization solutions
  • Excellent problem-solving and analytical skills
  • Strong communication and stakeholder engagement skills

Preferred Qualifications:

  • Experience with internal optimization projects in logistics, cost reduction, workforce/resource planning
  • Familiarity with Databricks, Azure ML, or AWS SageMaker
  • Working knowledge of dashboarding tools such as Power BI or Tableau
  • Prior experience in consulting environments or internal Centers of Excellence (CoEs)

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