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Mid LevelFull-timePythonData ScienceGitData
Salary Range
$52,488 - $71,013 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. This role focuses on solving challenging problems and boosting business growth through analytics and business insights.
Key Responsibilities
- →Develop a deep understanding of customer journey phases and key business metrics
- →Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- →Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior
- →Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences
- →Identify key trends and build automated reporting & executive-facing dashboards
- →Extract actionable insights through analyzing large, complex customer behavior data sets
- →Monitor and analyze a high volume of experiments designed to optimize the product
- →Translate complex concepts into implications for the business via excellent communication skills
- →Work with cross-functional teams to rapidly execute and iterate
Requirements
- ✓Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- ✓3-5 years experience using analytics to drive key business decisions
- ✓Proven track record of working independently and engaging with business stakeholders
- ✓Significant experience with SQL and large unstructured datasets such as Hadoop
- ✓Deep understanding of statistical analysis, experimentation design, and analytical techniques
- ✓Solid background in running multivariate experiments to optimize a product or revenue flow
- ✓Strong verbal and written communication skills
- ✓Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
