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Hybrid Junior Data Scientist Junior Data Scientist

Mapping Metrics® - AI Powered · India · Hybrid

About the job

We're seeking a Junior Data Scientist to join our client's team and contribute to data-driven decision-making through optimization techniques and code development. This role requires a strong foundation in Python (particularly with Pyomo and Ipopt) and SQL, with an emphasis on optimization problem-solving. The ideal candidate will be analytical, technically skilled, and comfortable with coding in a production environment.Key Responsibilities:Optimization & Analysis: Apply optimization techniques to model objective functions, constraints, and feasibility in various scenarios.Data Understanding: Analyze input and output data to diagnose issues, identify infeasibilities, and make data-driven recommendations.Code Development: Enhance and maintain Python code, including adjustments to constraint bounds and refining optimization models.Experimentation: Conduct small-scale experiments on constraint bounds to improve model accuracy and efficiency.Production Environment Coding: Write efficient, scalable code for deployment in a production environment, ensuring robust performance.Version Control: Use Git for version control to track changes, collaborate with team members, and manage code repositories.Requirements:Technical Skills:

  • Proficiency in Python, with experience using Pyomo and Ipopt for optimization tasks.
  • Strong SQL skills for data querying, manipulation, and analysis.
  • Understanding of optimization concepts such as objective functions, constraints, feasibility, and bounds.
Experience:
  • Prior experience working in a production environment, including deployment and maintenance of code.
  • Familiarity with version control systems, specifically Git, for collaborative code management.
Analytical Skills:
  • Ability to make sense of complex data and identify root causes of infeasibility in optimization models.
  • Strong problem-solving skills with attention to detail in interpreting and analyzing data inputs and outputs.
Preferred Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
  • Experience conducting experiments to enhance and improve optimization models.
  • Familiarity with other libraries or tools related to optimization and data science.