Data Scientist Lead - San Jose, United States - TikTok
Description
ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.
Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About The Tiktok Monetization Product Data Science Team
We're the TikTok Monetization Products data science team, who enables and champions data driven decision making.
Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making.
Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science.Responsibilities:
- Design and analyze lift experiments to drive product improvements with crossfunctional teams
- Conduct research and analysis to improve the lift experimentation platform using experimental design and causal inference methods
- Identify opportunities to build new or enhance ad measurement products
- Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions
- Build crossfunctional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product roadmaps
Qualifications:
Minimum Qualifications:
- 5+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, BioStatistics, Political Science, Economics, Quantitative Social Sciences, Computer Science, Mathematics, Physics) or equivalent practical experience
- Extensive knowledge and experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference
- Proven experience in querying and analyzing large datasets using SQL/Hive, and proficient in scripting languages like Python/R
- Strong analytical and strategic thinking with demonstrated product sense and leadership in working environment
Preferred Qualifications:
- Able to work independently in an innovative and fastpaced environment
- Knowledge or experience in digital advertising measurement (Brand or DR) is a plus
- Knowledge or experience with privacy technologies is a plus (e.g., secure multiparty computation techniques, differential privacy, federated learning)
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
We are passionate about this and hope you are too.Job Information
The base salary range for this position in the selected city is $ $395000 annually.
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.
We offer the following benefits to eligible employees:
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match.
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
More jobs from TikTok
-
Engineering Manager, Global E-commerce Fundamental
San Jose, United States - 3 days ago
-
Machine Learning Engineer
Seattle, WA, United States - 2 weeks ago
-
Machine Learning Engineer, Core Feed Recommendation
San Jose, CA, United States - 2 weeks ago
-
Machine Learning Engineer
Seattle, WA, United States - 1 week ago
-
Shop - Category Manager - Home & Living (Key Accounts)
Seattle, WA, United States - 4 days ago
-
Team Leader, Machine Learning Engineer
San Jose, CA, United States - 1 week ago