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Data Scientist
Skills
Computer ScienceAnalyticsEnglishMicrosoft SurfaceModelingOptimizationResearch And Development
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
