Data Scientist

About
Otto Group one.O (Formerly OSP India):

OSP India - Hyderabad
Private Limited is now part of Otto Group one.O, the central strategy
consulting and technology partner for the Otto Group. This transition
strengthens our commitment to delivering innovative IT solutions for commerce
and logistics. As we integrate with our global teams in Germany, Spain, and
Taiwan, you'll be at the forefront of shaping the digital future. Note: While
OSP India will transition to the Otto Group one.O name, this change will not
affect your role, job security, or our company culture.

Requirements

We are looking for a highly skilled Data Scientist with a strong focus on linear optimization and mathematical modeling.
The role involves designing, developing, validating, and optimizing
optimization models and integrating them into an existing optimization
pipeline. The ideal candidate will work closely with stakeholders and
developers to deliver data -driven solutions.

Key Responsibilities

·         Develop and validate linear optimization
models

·         Optimize and maintain existing models

·         Implement models using Python and Gurobi

·         Collaborate with stakeholders and engineering
teams

·         Communicate analytical insights to
non -technical audiences

Required Skills

·         6–10 years of experience in data science /
optimization

·         Strong experience in Python and Gurobi

·         Hands -on experience with linear optimization

·         Experience working with large datasets

·         Familiarity with Git and Excel

·         Degree in a quantitative field (CS, Math,
Statistics, Economics)

Good to Have

·         SQL, Solver framework

·         Logistics / supply -chain domain experience

Additional Information

·         Experience in logistics or supply chain
optimization is an advantage.

·         Creativity and innovation in applying data to
solve business problems.

·         Willingness to continuously learn and adapt
to new technologies and methods.

Benefits

• Experience in logistics in the mail order business is an advantage.
  
• Creativity and innovative strength to find new ways to use data.
  
• Willingness to continuously learn and adapt to new technologies and
  methods.