Roblox13 дней назад

Senior Data Scientist, Consumer Apps

Зарплата не указана

РЫНОК

16 250 ₽медиана по профессии

Data Scientist · 212 вакансий с указанной зарплатой

5 000половина предложений: 13 084–21 768120 000

Работодатель не указал зарплату — сравните с рынком сами.

San Mateo

Обязанности

01Identify high-potential platform levers and apply causal methods to understand their impact on user behavior, engagement, monetization, and other topline outcomes
02Develop deep expertise in the unique dynamics of each platform and proactively bring this perspective to broader research and cross-functional decision-making
03Build visibility into platform-level business performance and establish growth targets informed by internal data, market research, and competitive insights
04Design and analyze experiments to evaluate product launches, inform iteration, and drive rigorous, data-informed product decisions
05Advance how we measure product impact by developing innovative measurement and causal inference approaches
06Elevate data and experimentation rigor across the broader team by building scalable frameworks and practices around experiment design, success metrics, launch criteria, and launch readiness
07Build scalable monitoring and diagnostic capabilities that enable teams to quickly identify trends, investigate changes, and understand root causes
08Partner across Data Science, Product, and Engineering to connect insights across surfaces and translate complex data into actionable recommendations

01An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field
028+ years of industry experience in Data Science or a related quantitative discipline
03Experience working on consumer-facing products or applications
04Strong analytical and technical skills
05Proficiency in Python or R, SQL, and large-scale data processing and workflow tools such as Spark and Airflow
06Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies
07Demonstrated ability to independently lead ambiguous, high-impact problem spaces
08Proven ability to influence across Product, Engineering, Design, Data Science, and leadership
09Exceptional communication and storytelling skills