Senior Data Scientist - Operations Research

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The impact that you will be making

We are looking for a Data Scientist to join our data team to solve data-driven critical business problems. The person in this role will be responsible for developing and supporting optimization applications of multiple products.

The person in this role will collaborate with Business Analysts, software developers/architects and other data scientists in designing mathematical optimization based solutions and integrating them into software products. This also involves designing algorithms to solve many retail & supply chain optimization use-cases. The right candidate should have hands-on experience in developing optimization models and good knowledge in Operations Research.

What this role entail

• Create and implement optimization models for business problems.
• Design algorithms for inventory optimization, Price optimization and optimizing multi-echelon systems
• Work with the team for the accurate and efficient implementation of algorithms.
• Perform R&D in the areas of ML & Optimization
• Support & Maintaining developed/deployed optimization applications

What lands you in this role

• 2+ years of experience in developing Operations Research/Mathematical Optimization based applications
• Working knowledge primarily in large scale integer programming and good understanding of nonlinear & stochastic optimization models
• Experience in developing large scale optimization based applications
• Experience in implementing mathematical models using solvers such as CPLEX or Gurobi
• Interest in Retail/Supply Chain domain
• Masters (Preferred) in Computer Science/Industrial Engineering/Operations Research/Statistics
• Proficiency with any of the object oriented programming languages such as Python, C# or C++
• Experience with Docker & Kubernetes