Senior Data Scientist, Product Analytics
jobright.com
Senior Data Scientist, Product Analytics Join to apply for the Senior Data Scientist, Product Analytics role at Jobright.ai Senior Data Scientist, Product Analytics 1 day ago Be among the first 25 applicants Join to apply for the Senior Data Scientist, Product Analytics role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Metas mission is to build the future of human connection and the technology that makes it possible. As a Data Scientist, you will shape the future of products across Metas applications by applying your technical and analytical skills to influence product strategy and drive impactful decisions. Responsibilities:
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
- Bachelors degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
- Bachelors degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
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