Data Scientist I
Skills
Computer ScienceData AnalyticsData WarehousingIdentifying New OpportunitiesModelingReadinessSnowflake Cloud
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Python or R required
- Advanced SQL proficiency
- Experience with machine learning or statistical modeling tools such as scikit-learn TensorFlow or PyTorch
- Experience working with data warehouses such as Snowflake or Azure
- Experience with visualization tools such as Power BI or Tableau
- Experience with cloud platforms such as Azure or AWS
- Bachelor’s or master’s degree in data science mathematics computer science or related field
- 3 to 7 years of experience in data science or advanced analytics
- Experience working with large complex datasets in production environments
Nice to have
- Analytical
- Intellectually curious
- Business-minded
- Results-driven
- Collaborative
- Independent problem-solver
Day to day
- Develop and validate statistical and machine learning models to uncover patterns forecast outcomes and improve decision-making
- Perform exploratory data analysis and build predictive solutions for revenue forecasting member retention segmentation and other business needs
- Translate business questions into measurable analytical frameworks and collaborate with technical and business teams to deliver actionable insights