Senior Data Scientist

Job Purpose and Impact : -

• Intelligent Supply Chain Optimization Lead will work collaboratively in multidisciplinary teams to define, develop and deploy complex supply chain digital solutions at scale.
• In this role, you will deploy predictive and optimization models at scale for digital supply chain products that help deliver significant value to our customers, businesses and functions.

Key Accountabilities : -

• Continuously seek out best practices and develop skills. and Contribute to design, and implementation of new features, and deploy optimization solutions for intelligent supply chain applications.
• Work and consult on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver highly complex large-scale projects on time.
• Take ownership and work with limiter supervision for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
• Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.
• Provide expert thought leadership in optimization and work with limited direction, using additional research and interpretation to identify issues or problems.
• You may provide direction to supporting team members and be a strategic contributor.

Qualifications : -

• Bachelors degree in CS, Operational Research, Math OR related field OR Equivalent.
• Deep understanding of optimization (constrained, convex and non-convex optimization problems, and LP, QP,MILP, MINLP, problems and solvers).
• Strong coding skills in Python or OOP
• Minimum of 4 years of related work experience.
• Professional experience applying optimization for Supply Chain solutions.
• Experience on Optimizer model development with Gurobi, CPLEX.
• Experience with scalable ML(distributed systems, MapReduce, streaming, etc.).