TikTok
Research Scientist, Marketing Insights and Analytics
TikTok, San Jose, California, United States, 95199
Overview
Research Scientist, Marketing Insights and Analytics. The Marketing Data Science team, part of Marketing Insights & Analytics, is a critical business partner to Global Brand & Communications and Global Marketing. We bridge technical rigor with business strategy, delivering data science solutions that drive marketing efficiency and impact. You will join a team responsible for marketing revenue modeling, campaign measurement, and deep-dive analyses to uncover market opportunities. We focus on building, expanding, and automating data science capabilities, influencing top-line budget allocation and shaping TikTok’s marketing strategy at scale. Responsibilities
Lead Marketing Mix Modeling (MMM) execution and adoption, ensuring methodological rigor and translating outputs into actionable marketing insights. Communicate the methodology with data science teams across different orgs, highlighting model advantages and limitations. Advocate for MMM’s role in budget allocation and campaign optimization. Ensure methodological rigor in vendor-led research, reviewing experimental design, statistical approaches, and validity of findings. Expand marketing data science capabilities, including: - Incrementality Measurement: Develop and refine methodologies to assess marketing impact beyond standard A/B testing. - Budget Optimization: Leverage MMM and experiment-based insights to inform media investment and marketing spend efficiency. - Forecasting & Market Dynamics: Build predictive models for scenario planning and strategic marketing investment decisions. Influence cross-functional stakeholders (marketing, insights, product, engineering), driving alignment on data-driven marketing strategy. Advance causal inference methodologies in marketing measurement, including behavior and conversion lift studies (A/B testing with CUPED & DiD). Conduct meta-analyses to assess holistic A/B testing impact and drive strategic recommendations. Enhance automation & reporting, maintaining data pipelines, dashboards, and self-serve tools to streamline marketing analytics. Qualifications
Minimum Qualifications
Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field. 5+ years in data science roles within business strategy, marketing, finance, engineering, or analytics organizations. Strong programming skills in SQL and either Python or R, with experience in data querying, manipulation, and advanced statistical analysis. Experience with experimental design methodologies, including A/B testing and causal inference techniques. Proven ability to effectively communicate complex data insights to both technical and non-technical audiences. Demonstrated ability to lead complex projects, manage stakeholder relationships, and influence decision-making processes without formal authority. Preferred Qualifications
Ph.D. in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field. Strong background in Marketing Mix Modeling (MMM), causal inference (e.g., DiD, Synthetic Control, Instrumental Variables), and experimental design beyond standard A/B testing (e.g., CUPED, meta-analysis, Bayesian methods). Experience designing and analyzing geo-testing, creative testing, and incrementality experiments to measure marketing effectiveness and inform budget allocation. Proven ability to work with marketing, product, engineering, and operations teams, translating complex statistical insights into actionable business strategies. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with 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 express themselves, discover, and connect. Our diverse teams create value for communities, inspire creativity, and bring joy. We pursue curiosity, humility, impact, and an "Always Day 1" mindset to achieve meaningful breakthroughs for our company and users. Diversity & Inclusion
TikTok is committed to an inclusive space where employees are valued for skills, experiences, and perspectives. We celebrate diverse voices and strive to reflect the communities we reach. TikTok Accommodation
TikTok provides reasonable accommodations in our recruitment processes for candidates with disabilities or other protected reasons. If you need assistance, please reach out to us at https://tinyurl.com/RA-request Job Information
Note:
The following compensation information is provided as a general guideline and may vary by location. Compensation: The base salary range for this position in the selected city is $176,356 - $329,334 annually. Base pay is part of the Total Package and may include discretionary bonuses/incentives and restricted stock units. Benefits may vary by location and employment type. Day one benefits include medical, dental, and vision insurance, 401(k) with company match, parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off. The Company reserves the right to modify benefits programs at any time. For location-specific notes (e.g., Los Angeles County), see the company policy on fair chance and related considerations. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
Entertainment and Technology Information and Internet
#J-18808-Ljbffr
Research Scientist, Marketing Insights and Analytics. The Marketing Data Science team, part of Marketing Insights & Analytics, is a critical business partner to Global Brand & Communications and Global Marketing. We bridge technical rigor with business strategy, delivering data science solutions that drive marketing efficiency and impact. You will join a team responsible for marketing revenue modeling, campaign measurement, and deep-dive analyses to uncover market opportunities. We focus on building, expanding, and automating data science capabilities, influencing top-line budget allocation and shaping TikTok’s marketing strategy at scale. Responsibilities
Lead Marketing Mix Modeling (MMM) execution and adoption, ensuring methodological rigor and translating outputs into actionable marketing insights. Communicate the methodology with data science teams across different orgs, highlighting model advantages and limitations. Advocate for MMM’s role in budget allocation and campaign optimization. Ensure methodological rigor in vendor-led research, reviewing experimental design, statistical approaches, and validity of findings. Expand marketing data science capabilities, including: - Incrementality Measurement: Develop and refine methodologies to assess marketing impact beyond standard A/B testing. - Budget Optimization: Leverage MMM and experiment-based insights to inform media investment and marketing spend efficiency. - Forecasting & Market Dynamics: Build predictive models for scenario planning and strategic marketing investment decisions. Influence cross-functional stakeholders (marketing, insights, product, engineering), driving alignment on data-driven marketing strategy. Advance causal inference methodologies in marketing measurement, including behavior and conversion lift studies (A/B testing with CUPED & DiD). Conduct meta-analyses to assess holistic A/B testing impact and drive strategic recommendations. Enhance automation & reporting, maintaining data pipelines, dashboards, and self-serve tools to streamline marketing analytics. Qualifications
Minimum Qualifications
Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field. 5+ years in data science roles within business strategy, marketing, finance, engineering, or analytics organizations. Strong programming skills in SQL and either Python or R, with experience in data querying, manipulation, and advanced statistical analysis. Experience with experimental design methodologies, including A/B testing and causal inference techniques. Proven ability to effectively communicate complex data insights to both technical and non-technical audiences. Demonstrated ability to lead complex projects, manage stakeholder relationships, and influence decision-making processes without formal authority. Preferred Qualifications
Ph.D. in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field. Strong background in Marketing Mix Modeling (MMM), causal inference (e.g., DiD, Synthetic Control, Instrumental Variables), and experimental design beyond standard A/B testing (e.g., CUPED, meta-analysis, Bayesian methods). Experience designing and analyzing geo-testing, creative testing, and incrementality experiments to measure marketing effectiveness and inform budget allocation. Proven ability to work with marketing, product, engineering, and operations teams, translating complex statistical insights into actionable business strategies. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with 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 express themselves, discover, and connect. Our diverse teams create value for communities, inspire creativity, and bring joy. We pursue curiosity, humility, impact, and an "Always Day 1" mindset to achieve meaningful breakthroughs for our company and users. Diversity & Inclusion
TikTok is committed to an inclusive space where employees are valued for skills, experiences, and perspectives. We celebrate diverse voices and strive to reflect the communities we reach. TikTok Accommodation
TikTok provides reasonable accommodations in our recruitment processes for candidates with disabilities or other protected reasons. If you need assistance, please reach out to us at https://tinyurl.com/RA-request Job Information
Note:
The following compensation information is provided as a general guideline and may vary by location. Compensation: The base salary range for this position in the selected city is $176,356 - $329,334 annually. Base pay is part of the Total Package and may include discretionary bonuses/incentives and restricted stock units. Benefits may vary by location and employment type. Day one benefits include medical, dental, and vision insurance, 401(k) with company match, parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off. The Company reserves the right to modify benefits programs at any time. For location-specific notes (e.g., Los Angeles County), see the company policy on fair chance and related considerations. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
Entertainment and Technology Information and Internet
#J-18808-Ljbffr