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sql python pandas tableau machine learningπ Description
- Collect, clean, and analyze structured and unstructured data.
- Develop predictive models, statistical analyses, and ML algorithms.
- Build dashboards, reports, and data visualizations to communicate insights.
- Collaborate with engineering to deploy models into production environments.
- Perform exploratory data analysis (EDA) to identify trends and opportunities.
- Conduct A/B testing and design experiments to measure feature performance.
π― Requirements
- Bachelor's or Master's in Data Science, CS, Statistics, Mathematics, or related field.
- Strong proficiency in Python (pandas, scikit-learn, NumPy).
- Experience using SQL to work with analytical databases and data warehouses.
- Solid understanding of statistical modeling, model evaluation, and experimental methods.
- Familiarity with machine learning techniques (regression, classification, clustering).
- Hands-on experience building and running machine learning models in production or production-like environments.
π Benefits
- Stock options for employees
- Comprehensive healthcare coverage for you and dependents
- Fertility and family-building benefits
- Work-life balance and You Time with generous PTO
- Company-paid parental leave
- Personal education budget for skill growth
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