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Data Scientist

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Job Description - Data Scientist




  • Help design, build and continuously improve the clients online platform.

  • Research, suggest and implement new technology solutions following best practices/standards.

  • Take responsibility for the resiliency and availability of different products.

  • Be a productive member of the team.








Requirements

We are seeking a highly skilled Data Scientist with a strong foundation in Operations Research to join our team. This role requires experience in optimization, Python development, and the end-to-end deployment of analytics solutions in commercial or enterprise environments.
Key Qualifications:



  • Master’s degree in a relevant field with 4+ years of experience in Operations Research roles.

  • Strong proficiency in Python (object-oriented programming, clean code principles).

  • Hands-on experience with optimization solvers (Gurobi preferred, also CPLEX or COIN-OR).

  • Familiarity with at least one SQL dialect (e.g., PostgreSQL, MySQL, MSSQL).

  • Basic understanding of cloud platforms and tools such as Jira, Git, Docker, and CI/CD pipelines.

  • Experience with visual debugging tools like VSCode or PyCharm.

  • Proven track record in developing and deploying production-ready applications.

  • Ability to explain complex technical concepts to both technical and non-technical audiences.

  • Proactive, self-driven, and able to work independently.

  • Bonus: Experience with simulation and data visualization tools.

Preferred Skills:



  • Ability to build and deploy Python-based REST APIs that interact with databases, perform data manipulation, and return results via endpoints.

  • Strong understanding of coding best practices, including testing for business logic and endpoint functionality.

  • Ability to justify and communicate design decisions clearly.





Key Responsibilities:




  • Engage with stakeholders to gather requirements and provide data-driven solutions.

  • Analyze business problems and propose optimization-based approaches.

  • Build, deploy, and monitor optimization models in production.

  • Maintain and improve existing models and analytics tools.

  • Perform ad hoc analyses to support business operations.








Benefits



  • A challenging, innovating environment. 

  • Opportunities for learning where needed.








Original job Data Scientist posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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