Consultant

Job Title:

Data Scientist – Optimization

About Straive:

Website:

https://www.straive.com/

Linkedin

Objective

Data Scientist with deep expertise in optimization and applied operations research

Key Responsibilities

• Design and build optimization models to support decision-making in scheduling, batch movement, or network planning
• Translate real-world business rules and constraints into mathematical formulations
• Develop and test optimization algorithms using solvers such as Gurobi, CPLEX, or Google OR-Tools
• Work with historical and real-time data to validate and tune models
• Collaborate with engineering, product, and business teams to integrate models into production environments
• Present insights and trade-offs to both technical and non-technical stakeholders
  

Required Skills & Experience

• 5+ years of experience in data science, with strong focus on optimization or operations research
• Proficient in Python, relevant libraries and tools:
• Optimization: Pyomo, PuLP, OR-Tools, cvxpy
• Data Science: pandas, NumPy, scikit-learn, matplotlib/seaborn
• Tools: Gurobi: CPLEX, or Google OR-Tools
• Hands-on experience with linear programming, mixed integer programming, or constraint programming
• Ability to structure, clean, and analyze complex datasets
• Strong communication skills for explaining technical models to diverse audiences
  

Preferred (Nice To Have)

• Experience working on scheduling, routing, or supply chain optimization problems
• Exposure to forecasting models or simulation-based decision support
• Familiarity with deploying models into production environments or building APIs for model consumption
• Background in applied mathematics, industrial engineering, computer science, or related fields