TikTok
Data Scientist - TikTok Ads, Ads Measurement, Signal and Identity
TikTok, San Jose, California, United States, 95199
Data Scientist - TikTok Ads, Ads Measurement, Signal and Identity
Responsibilities
Design and analyze internal or advertiser-facing experiments or causal inference analyses to drive product improvements with cross‑functional teams.
Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions and deep data understanding.
Identify opportunities to improve signal volume, diversity, quality and utilization efficiency.
Build cross‑functional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product road‑maps.
Qualifications
3+ years industry experience and an advanced degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience.
Extensive knowledge and experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference.
Proven experience querying and analyzing large datasets using SQL/Hive and proficiency in scripting languages such as Python or R.
Strong analytical and strategic thinking with demonstrated product sense and leadership in a collaborative environment.
Preferred Qualifications
Ability to work independently in an innovative and fast‑paced environment.
Knowledge or experience in digital advertising, search or recommendation systems.
Experience dealing with missing data and real‑world measurement errors.
About TikTok
TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, with additional offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok’s mission. Our innovative product helps people authentically express themselves, discover and connect. We foster a culture of curiosity, humility and impact, encouraging continuous learning and experimentation. Our diverse teams drive meaningful breakthroughs for the company and our users.
Diversity & Inclusion
TikTok is committed to creating an inclusive workplace where employees are valued for their unique perspectives. We celebrate diversity and aim to reflect the communities we serve.
TikTok Accommodation
TikTok provides reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy or sincerely held religious beliefs. Request accommodations at
https://tinyurl.com/RA-request .
Job Information
Compensation: $176,356 – $395,280 annually (base salary). Additional incentives and benefits may apply. Full benefits include medical, dental, vision insurance, 401(k), paid parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 sick days and paid personal time.
Hiring for: Mid‑Senior level, Full‑time, Engineering and Information Technology. City: San Jose, CA.
For equal employment opportunity, please refer to our official statement on EEO compliance.
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Design and analyze internal or advertiser-facing experiments or causal inference analyses to drive product improvements with cross‑functional teams.
Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions and deep data understanding.
Identify opportunities to improve signal volume, diversity, quality and utilization efficiency.
Build cross‑functional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product road‑maps.
Qualifications
3+ years industry experience and an advanced degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience.
Extensive knowledge and experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference.
Proven experience querying and analyzing large datasets using SQL/Hive and proficiency in scripting languages such as Python or R.
Strong analytical and strategic thinking with demonstrated product sense and leadership in a collaborative environment.
Preferred Qualifications
Ability to work independently in an innovative and fast‑paced environment.
Knowledge or experience in digital advertising, search or recommendation systems.
Experience dealing with missing data and real‑world measurement errors.
About TikTok
TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, with additional offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok’s mission. Our innovative product helps people authentically express themselves, discover and connect. We foster a culture of curiosity, humility and impact, encouraging continuous learning and experimentation. Our diverse teams drive meaningful breakthroughs for the company and our users.
Diversity & Inclusion
TikTok is committed to creating an inclusive workplace where employees are valued for their unique perspectives. We celebrate diversity and aim to reflect the communities we serve.
TikTok Accommodation
TikTok provides reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy or sincerely held religious beliefs. Request accommodations at
https://tinyurl.com/RA-request .
Job Information
Compensation: $176,356 – $395,280 annually (base salary). Additional incentives and benefits may apply. Full benefits include medical, dental, vision insurance, 401(k), paid parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 sick days and paid personal time.
Hiring for: Mid‑Senior level, Full‑time, Engineering and Information Technology. City: San Jose, CA.
For equal employment opportunity, please refer to our official statement on EEO compliance.
#J-18808-Ljbffr