Research Scientist, Marketing Measurement

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 MMMs 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 HQ is in Los Angeles and Singapore, with offices around the world.

Why Join Us

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. We embrace challenges as opportunities to learn and innovate as one team. Join us.

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 aim to create an environment that reflects the communities we reach.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. For accommodations, please reach out at https://tinyurl.com/RA-request.

Job Information

Compensation: The base salary range for this position in the selected city is $167,538 - $312,867 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. This role may be eligible for additional discretionary bonuses/incentives and restricted stock units. Benefits vary by location and role. Day-one medical/dental/vision, 401(k) with company match, paid parental leave, disability and life insurance, wellbeing benefits, and paid time off are provided where applicable.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• Technology, Information and Internet
• Entertainment

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