Measurement Science Partner, Global Accounts
Jul 1, 2026 New York
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights. Sitting at the intersection of sales, product, analytics, and marketing, we help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships.
About the role
As a Measurement Science Partner, you'll work at the frontier of causal measurement, experimentation, and AI-led scalable analytics, turning bespoke analysis into reusable measurement solutions that prove TikTok's effectiveness to the world's largest advertisers. This is a hands-on IC role within Measurement, sitting at the intersection of rigorous quantitative execution and trusted internal partnership. Working alongside our client-facing Measurement Partners, you'll develop and scale the analytical frameworks and production-ready tools that drive global revenue growth across a portfolio of strategic, high-visibility accounts.
The ideal candidate brings deep quantitative execution, a consultative mindset, and the ability to turn complex statistical models into scalable solutions that empower our broader measurement organization and prove TikTok's effectiveness to the world's largest advertisers.
Responsibilities
- Apply rigorous statistical models and causal inference methodologies, including experimentation (brand lift, conversion lift, geo lift), incrementality testing, attribution, and media mix modeling, to campaign and business outcome data to explain the underlying drivers of upper and lower-funnel metrics
- Build and ship production-ready analytical tools, models, and data applications in Python and/or R that are robust, repeatable, documented, and built for reuse across teams and accounts
- Partner closely with client-facing Measurement Partners to develop and implement advanced measurement strategies that directly support business and revenue growth for our largest global advertisers
- Train and enable measurement teams on how to effectively use your reporting frameworks and analytical solutions, and collaborate with Sales, Measurement Product, and Data Science to inform future measurement infrastructure and GTM strategies
Qualifications
Minimum Qualifications:
- Bachelor's degree in a quantitative field (Statistics, Data Science, Mathematics, Operations Research)
- 5+ years of experience in data science, marketing science, or digital measurement with a heavy emphasis on statistical modeling
- Strong hands-on skills in SQL and Python and/or R, with experience building reusable analyses, dashboards, or analytical applications in production or near-production settings
- Experience applying advanced methods such as regression, decision trees, random forests, causal inference, or similar approaches to large-scale campaign and business datasets
- Strong communication skills with the ability to translate technical findings clearly for both technical and non-technical stakeholders
- Demonstrated ability to work cross-functionally with sales, product, and measurement stakeholders in a fast-paced, high-ambiguity environment
Preferred Qualifications:
- Graduate degree preferred
- Proven experience with experimental design (brand lift, conversion lift, geo lift), attribution frameworks, and media mix modeling applied to real campaign data
- Familiarity with privacy-safe measurement, incrementality testing, or auction and optimization analyses in digital advertising
- Experience supporting large, strategic, or global advertiser accounts in a consultative environment where analytical outputs must influence senior stakeholders
- Track record of converting one-off analyses into reusable frameworks or scaled analytical products for broader organizational use
- Experience training or enabling commercial or partner-facing teams on analytical workflows and tooling
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $121600 - $272000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights. Sitting at the intersection of sales, product, analytics, and marketing, we help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships.
About the role
As a Measurement Science Partner, you'll work at the frontier of causal measurement, experimentation, and AI-led scalable analytics, turning bespoke analysis into reusable measurement solutions that prove TikTok's effectiveness to the world's largest advertisers. This is a hands-on IC role within Measurement, sitting at the intersection of rigorous quantitative execution and trusted internal partnership. Working alongside our client-facing Measurement Partners, you'll develop and scale the analytical frameworks and production-ready tools that drive global revenue growth across a portfolio of strategic, high-visibility accounts.
The ideal candidate brings deep quantitative execution, a consultative mindset, and the ability to turn complex statistical models into scalable solutions that empower our broader measurement organization and prove TikTok's effectiveness to the world's largest advertisers.
Responsibilities
- Apply rigorous statistical models and causal inference methodologies, including experimentation (brand lift, conversion lift, geo lift), incrementality testing, attribution, and media mix modeling, to campaign and business outcome data to explain the underlying drivers of upper and lower-funnel metrics
- Build and ship production-ready analytical tools, models, and data applications in Python and/or R that are robust, repeatable, documented, and built for reuse across teams and accounts
- Partner closely with client-facing Measurement Partners to develop and implement advanced measurement strategies that directly support business and revenue growth for our largest global advertisers
- Train and enable measurement teams on how to effectively use your reporting frameworks and analytical solutions, and collaborate with Sales, Measurement Product, and Data Science to inform future measurement infrastructure and GTM strategies
Minimum Qualifications:
- Bachelor's degree in a quantitative field (Statistics, Data Science, Mathematics, Operations Research)
- 5+ years of experience in data science, marketing science, or digital measurement with a heavy emphasis on statistical modeling
- Strong hands-on skills in SQL and Python and/or R, with experience building reusable analyses, dashboards, or analytical applications in production or near-production settings
- Experience applying advanced methods such as regression, decision trees, random forests, causal inference, or similar approaches to large-scale campaign and business datasets
- Strong communication skills with the ability to translate technical findings clearly for both technical and non-technical stakeholders
- Demonstrated ability to work cross-functionally with sales, product, and measurement stakeholders in a fast-paced, high-ambiguity environment
Preferred Qualifications:
- Graduate degree preferred
- Proven experience with experimental design (brand lift, conversion lift, geo lift), attribution frameworks, and media mix modeling applied to real campaign data
- Familiarity with privacy-safe measurement, incrementality testing, or auction and optimization analyses in digital advertising
- Experience supporting large, strategic, or global advertiser accounts in a consultative environment where analytical outputs must influence senior stakeholders
- Track record of converting one-off analyses into reusable frameworks or scaled analytical products for broader organizational use
- Experience training or enabling commercial or partner-facing teams on analytical workflows and tooling
The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights. Sitting at the intersection of sales, product, analytics, and marketing, we help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships.
About the role
As a Measurement Science Partner, you'll work at the frontier of causal measurement, experimentation, and AI-led scalable analytics, turning bespoke analysis into reusable measurement solutions that prove TikTok's effectiveness to the world's largest advertisers. This is a hands-on IC role within Measurement, sitting at the intersection of rigorous quantitative execution and trusted internal partnership. Working alongside our client-facing Measurement Partners, you'll develop and scale the analytical frameworks and production-ready tools that drive global revenue growth across a portfolio of strategic, high-visibility accounts.
The ideal candidate brings deep quantitative execution, a consultative mindset, and the ability to turn complex statistical models into scalable solutions that empower our broader measurement organization and prove TikTok's effectiveness to the world's largest advertisers.
Responsibilities
- Apply rigorous statistical models and causal inference methodologies, including experimentation (brand lift, conversion lift, geo lift), incrementality testing, attribution, and media mix modeling, to campaign and business outcome data to explain the underlying drivers of upper and lower-funnel metrics
- Build and ship production-ready analytical tools, models, and data applications in Python and/or R that are robust, repeatable, documented, and built for reuse across teams and accounts
- Partner closely with client-facing Measurement Partners to develop and implement advanced measurement strategies that directly support business and revenue growth for our largest global advertisers
- Train and enable measurement teams on how to effectively use your reporting frameworks and analytical solutions, and collaborate with Sales, Measurement Product, and Data Science to inform future measurement infrastructure and GTM strategies
Qualifications
Minimum Qualifications:
- Bachelor's degree in a quantitative field (Statistics, Data Science, Mathematics, Operations Research)
- 5+ years of experience in data science, marketing science, or digital measurement with a heavy emphasis on statistical modeling
- Strong hands-on skills in SQL and Python and/or R, with experience building reusable analyses, dashboards, or analytical applications in production or near-production settings
- Experience applying advanced methods such as regression, decision trees, random forests, causal inference, or similar approaches to large-scale campaign and business datasets
- Strong communication skills with the ability to translate technical findings clearly for both technical and non-technical stakeholders
- Demonstrated ability to work cross-functionally with sales, product, and measurement stakeholders in a fast-paced, high-ambiguity environment
Preferred Qualifications:
- Graduate degree preferred
- Proven experience with experimental design (brand lift, conversion lift, geo lift), attribution frameworks, and media mix modeling applied to real campaign data
- Familiarity with privacy-safe measurement, incrementality testing, or auction and optimization analyses in digital advertising
- Experience supporting large, strategic, or global advertiser accounts in a consultative environment where analytical outputs must influence senior stakeholders
- Track record of converting one-off analyses into reusable frameworks or scaled analytical products for broader organizational use
- Experience training or enabling commercial or partner-facing teams on analytical workflows and tooling
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $121600 - $272000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Responsibilities
ResponsibilitiesThe Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights. Sitting at the intersection of sales, product, analytics, and marketing, we help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships.
About the role
As a Measurement Science Partner, you'll work at the frontier of causal measurement, experimentation, and AI-led scalable analytics, turning bespoke analysis into reusable measurement solutions that prove TikTok's effectiveness to the world's largest advertisers. This is a hands-on IC role within Measurement, sitting at the intersection of rigorous quantitative execution and trusted internal partnership. Working alongside our client-facing Measurement Partners, you'll develop and scale the analytical frameworks and production-ready tools that drive global revenue growth across a portfolio of strategic, high-visibility accounts.
The ideal candidate brings deep quantitative execution, a consultative mindset, and the ability to turn complex statistical models into scalable solutions that empower our broader measurement organization and prove TikTok's effectiveness to the world's largest advertisers.
Responsibilities
- Apply rigorous statistical models and causal inference methodologies, including experimentation (brand lift, conversion lift, geo lift), incrementality testing, attribution, and media mix modeling, to campaign and business outcome data to explain the underlying drivers of upper and lower-funnel metrics
- Build and ship production-ready analytical tools, models, and data applications in Python and/or R that are robust, repeatable, documented, and built for reuse across teams and accounts
- Partner closely with client-facing Measurement Partners to develop and implement advanced measurement strategies that directly support business and revenue growth for our largest global advertisers
- Train and enable measurement teams on how to effectively use your reporting frameworks and analytical solutions, and collaborate with Sales, Measurement Product, and Data Science to inform future measurement infrastructure and GTM strategies
Qualifications
QualificationsMinimum Qualifications:
- Bachelor's degree in a quantitative field (Statistics, Data Science, Mathematics, Operations Research)
- 5+ years of experience in data science, marketing science, or digital measurement with a heavy emphasis on statistical modeling
- Strong hands-on skills in SQL and Python and/or R, with experience building reusable analyses, dashboards, or analytical applications in production or near-production settings
- Experience applying advanced methods such as regression, decision trees, random forests, causal inference, or similar approaches to large-scale campaign and business datasets
- Strong communication skills with the ability to translate technical findings clearly for both technical and non-technical stakeholders
- Demonstrated ability to work cross-functionally with sales, product, and measurement stakeholders in a fast-paced, high-ambiguity environment
Preferred Qualifications:
- Graduate degree preferred
- Proven experience with experimental design (brand lift, conversion lift, geo lift), attribution frameworks, and media mix modeling applied to real campaign data
- Familiarity with privacy-safe measurement, incrementality testing, or auction and optimization analyses in digital advertising
- Experience supporting large, strategic, or global advertiser accounts in a consultative environment where analytical outputs must influence senior stakeholders
- Track record of converting one-off analyses into reusable frameworks or scaled analytical products for broader organizational use
- Experience training or enabling commercial or partner-facing teams on analytical workflows and tooling
Additional Information
- Job category: Marketing
- Salary: $121,600 – $272,000
- Posted: Jul 1, 2026