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Data Scientist

Skills
Computer ScienceAnalyticsEnglishMicrosoft SurfaceModelingOptimizationResearch And Development
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Master's in Statistics Data Science Computer Science Mathematics or similar experience
  • Strong foundation in statistical modeling machine learning and model evaluation techniques
  • Proficiency in designing and running structured experiments including A/B testing and causal inference methods
  • Hands-on experience with supervised and unsupervised learning across classification regression clustering and time-series problems
  • Experience working with LLMs and GenAI techniques as tools within the data science workflow
  • Excellent written and verbal communication skills in English
  • Strong programming skills in Python including pandas scikit-learn etc.
  • Comfort working with and querying large datasets using SQL or similar tools
  • Strong analytical and problem-solving skills with healthy skepticism toward results
  • Ability to work in a dynamic fast-paced environment
  • Proven ability to work independently proactively own outcomes and contribute effectively as part of a small close-knit team

Nice to have

  • Collaborative
  • Proactive
  • Independent
  • Analytical
  • Curious
  • Accountable

Day to day

  • Lead end-to-end development of machine learning and statistical models from problem framing through evaluation and handoff to production
  • Explore complex real-world datasets to uncover actionable insights and collaborate with engineers on validating data pipelines
  • Design robust experiments and benchmarking frameworks to guide modeling decisions vendor selection and architectural trade-offs
  • Act as the data science lead on projects translating customer business questions into clear modeling problems and delivering timely high-quality outcomes