Role : Data Science with ML , Python , SQL
Location : Mountain View CA (Day 1 onsite)
Data science , knowledge on data models, regression techniques. The regression method
Skills
- 5+ years of experience working in a data analytics role
- Fluency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, customer segmentation, and funnel analysis
- Hands-on expertise with SQL, R/Python and statistical modeling techniques (e.g. regression, classification, time series) to answer a wide range of measurement questions.
- Ability to tell stories clearly and concisely with data, and how they drive business outcomes
- Demonstrates strong business acumen and curiosity
- Excellent problem-solving skills and end-to-end quantitative thinking
- Performs business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining.
- Determines best practices and develops actionable insights and recommendations for the current business operations.
- Produce adhoc reports, conduct data discovery and quality checks needed for reports
