Job Description:
• Work with team of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements
• Apply multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization on large data sets to gain useful insights into the data, detect trends and outliers/invalid data conditions present in the data sets
• Develop custom scalable and sustainable integrated mathematical models by leveraging Python skills and optimization solvers such as Gurobi, CBC, CPLEX
• Work on data analysis and modeling related assignments as required
Requirements:
• Master’s degree in Computer Science, Data Science, or other applied mathematical discipline, with at least 3 year of relevant professional experience OR Bachelor’s degree in Operations Research, Computer Science, Data Science, or other applied mathematical discipline, with at least 4 years of relevant professional experience
• Expertise in statistical and data analysis
• Expertise in linear programming
• Experienced in Python and SQL
• Excellent written, verbal skills
• Minimal travel required
Benefits:
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