This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Overview
Research Scientist, Marketing Insights and Analytics
3 weeks ago Be among the first 25 applicants
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. Our global headquarters are in Los Angeles and Singapore, with offices in multiple cities worldwide.
Why Join Us
Inspiring creativity is at the core of TikTok\'s mission. We foster curiosity, humility, and impact, working as one team to drive meaningful breakthroughs for our users and business.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique 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, pregnancy, sincerely held religious beliefs, or other protected reasons. For assistance or accommodation requests, please reach out to us at
Job Information
Compensation Description (Annually): The base salary range for this position in the selected city is $176,356 - $329,334 annually. Compensation may vary depending on qualifications, skills, competencies, experience, and location. Base pay may include discretionary bonuses/incentives and restricted stock units. Benefits vary by location and role. Day-one medical, dental, and vision, 401(k) with match, paid parental leave, disability coverage, life insurance, wellbeing benefits, and paid time off are included. The company may modify benefits programs at any time.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
Entertainment and Technology
Information and Internet
We\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Worksite address
san jose, CA, 95199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.