Data Scientist - Senior

Envision LLC in Saint Louis, MO

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $93,460.00 - 155,380.00 / Year*
What You Will Do:

1. Design, implement and prototype optimized algorithms that integrate artificial intelligence, operations research, machine learning, and statistics in order to solve challenging analytics problems influencing farmer decisions using scalable models

2. Developed powerful business insights from big data using advanced operations research, machine learning, and statistical techniques

3. Solve computational challenges of scaling complex AI and OR algorithms on big data with engineer partners

4. Conduct scientific presentations regularly with leadership teams

Basic Qualifications

1. PhD + 2 years or Masters plus 5 years of experience in Operations Research, Statistics, Mathematics, Computer Science, Engineering, or a related discipline with a focus on using operations research, optimization, predictive analytics, and/or artificial intelligence to influence real life decisions

2. At least 2 years experience with applying operations research (e.g. artificial intelligence) in optimizing human decisions

3. At least 2 years experience with CPLEX, GUROBI, AMPL or other solvers

4. At least 2 years experience with MILP and/or MIQCP models

5. Strong computational skills in Python programming

6. Ability to communicate complex ideas in a clear, precise and actionable manner

Preferred Qualifications:

1. Proven experience using multiple forms of operations research such as MILP/MIP/MICQ to solve large scale problems

2. Good understanding of the deterministic and stochastic optimization theory for efficient mathematical formulations

3. Strong computational skills in one or more of the following optimization software and modeling language: CPLEX, AMPL, GAMS, or GUROBI

4. Ability to implement new algorithms efficiently and rigorously

5. Knowledge and experience in farming, plant breeding or physiology, agronomy or genetics

6. Ability to solve and communicate challenging and complex analytical problems, and willingness to extend own statistical and mathematical interests into new fields of research and development
Associated topics: chip, c c++, electronic, informatic, information technology, linux, processor, programmer, programming, python

* Estimated salary


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