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Senior Data Scientist
Skills
Computer ScienceAnalyticsData AnalyticsData StrategiesDatabasesModelingOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Data Science Computer Science Statistics Engineering or related field with 8+ years of experience or Master’s degree with 6+ years of experience
- Proven experience developing and delivering data science solutions in a production environment
- Advanced proficiency in Python for machine learning data analysis and automation
- Expert-level SQL skills and experience with relational databases
- Experience integrating data from multiple systems through APIs
- Strong foundation in statistics probability predictive modeling and analytical methodologies
- Experience building validating and deploying machine learning models that drive business outcomes
- Strong communication skills with the ability to translate technical findings into actionable business insights
Nice to have
- Strategic leadership
- Cross-functional collaboration
- Data storytelling
- Mentoring mindset
- Innovative thinking
Day to day
- Solve complex business challenges using advanced analytics machine learning and AI
- Collaborate with business leaders engineering teams clients and stakeholders to define problems and shape data strategy
- Build tune and deploy predictive NLP and production-ready models from large complex datasets and multiple sources
- Translate analytical findings into clear actionable recommendations and mentor junior data scientists