21 час назад
Data Scientist (CapCut)
144 000 - 329 334$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (CapCut) (SQL/Python/R): Analyzing large and complex datasets to guide product strategy, measure product success, and build scalable data products with an accent on quantitative analysis, experimentation, and product metrics. Focus on developing data pipelines and dashboards, identifying product improvement opportunities, and communicating insights across PM, Operations, and R&D teams.
Location: San Jose, United States; fully in-person schedule up to 5 days a week
Salary: $144,000–$329,334 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
operates apps and data privacy and cybersecurity programs designed to protect U.S. user data and support the U.S. content ecosystem.
What you will do
- Analyze large and complex datasets using quantitative, statistical, experimentation, and data-mining approaches.
- Define product goals, forecasts, and key metrics to measure product success and identify trends.
- Test product opportunities and improvement levers, using insights to influence roadmaps and investment decisions.
- Develop data pipelines and dashboards that improve data infrastructure and enable scalable data products.
- Collaborate with Product Management, Operations, R&D, and other cross-functional teams on product strategy.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Economics, Statistics, or another science or engineering field.
- Experience with SQL, Python, or R.
- Experience working with large datasets using SQL.
- Approximately 3 years of relevant experience in technology companies.
- Ability to perform rigorous analysis and communicate conclusions to technical and non-technical audiences.
Culture & Benefits
- Medical, dental, and vision insurance from the first day.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Inclusive workplace with reasonable accommodations available during recruitment.
- In-person collaboration focused on speed, alignment, team development, and integrated execution.
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