Senior Data Scientist

6 days ago


Anywhere in IndiaMultiple Locations Kadbits Full time
Job Title: Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to join our team at Kadbits. As a key member of our Data Science Team, you will play a critical role in developing and supporting the roll out of our new global TIM programme.

About the Role:

The Trade Investment Management (TIM) programme is a top priority strategic initiative aimed at sales planning and optimisation to drive growth across our business. At the heart of TIM is a bespoke counterfactual model and promotion optimisation which analyse the effectiveness of promotional campaigns to devise optimal marketing objectives and strategies.

You will work closely with our Principal Data Scientist and the TIM Squad to develop, optimise and deploy counterfactual and promotion optimisation models. Your expertise will be essential in mentoring and upskilling more junior members of the team.

Key Responsibilities:
  • Develop high-quality and robust code to support the TIM programme.
  • Assist in the improvement and scalability enhancement tasks on the code base.
  • Mentor and upskill more junior members of the team.
  • Work with the TIM Squad to develop and deploy counterfactual and promotion optimisation models.
Requirements:
  • MSc or higher degree in a STEM subject.
  • Proven experience in building and deploying machine learning models.
  • Experience in conceptualising, formulating, prototyping and implementing algorithms to solve business problems.
  • At least 5 years of OOP development using Python, with excellent and broad knowledge of popular Python packages.
  • Strong experience in the complete SDLC process.
  • Experienced in Agile methodologies and hypothesis-driven approach.
Nice to Have:
  • Experience with cloud platforms, particularly Azure and optimisation libraries such as Gurobi.
  • Experience in software engineering concepts such as robust programming and graceful exit.
  • Experience of software development and deployment lifecycle, especially CICD pipelines and version control.


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