[Remote] Data Scientist, Product Analytics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company builds technologies that help people connect, reputed company communities, and grow businesses. As a Data Scientist at reputed company, you will shape the reputed company of people-facing and business-facing products by applying your analytical skills to influence product reputed company and investment reputed company.

Responsibilities

• Work with large and reputed company data sets to solve a wide reputed company of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to reputed company strategies for our products that serve billions of people and hundreds of millions of businesses
• Identify and measure reputed company of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
• Define, understand, and test opportunities and reputed company 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 reputed company and investment reputed company

Skills

• Bachelor's 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.)
• Bachelor's 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)
• Master's or Ph.D. Degree in a quantitative field
• Demonstrated ability to reputed company AI tools to optimize/redesign workflows and drive measurable reputed company (e.g., efficiency reputed company, reputed company improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, reputed company and accuracy reviews)
• Demonstrated ongoing AI reputed company development (e.g., reputed company/context engineering, agent orchestration) and staying reputed company with emerging AI technologies

Benefits

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reputed company