Research Scientist
Summary
Professional Operations Research Scientist with a demonstrated history of working in Mathematical Programming and Optimization, Multiobjective Optimization, Decomposition-based Algorithms, Integer Programming, Combinatorial Optimization, Computational
Optimization, Stochastic Modeling and Optimization, Parallel Computing, design of algorithms, discrete-event simulation modeling and analysis, machine learning algorithms, reinforcement learning algorithms, data mining on large datasets, and nonlinear optimization to solve challenging scientific and business problems.
With applications in Transportation, Location and Network Problems, Production Planning, Sequencing and Scheduling, Logistics, and Supply Chain.
Skilled in Python and SQL.
Expectations
I am looking for an opportunity to grow as a professional.
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Programming
- Python
- C
- C++
- Julia
- MATLAB
- Bash Scripting
- SQL
- GIT.
- OR Packages
- GUROBI
- CPLEX
- Coin-OR.
- Mathematical Modeling
- Pyomo
- Pulp
- AMPL
- GAMS.
- Parallel Computing
- MPI
- TBB.
- Statistics
- Probability
- SAS
- R.
- Libraries
- Frameworks
- Pandas
- Numpy
- Scikit-Learn
- Matplotlib
- Seaborn
- MapReduce
- Spark.
- Online Course
- Statistical Learning
- Stanford
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