Data Scientist, Marketing Insights and Analytics

TikTok
London
18 hours ago
Applications closed

Related Jobs

View all jobs

Fullstack Data Scientist (Lead)

Fullstack Data Scientist (Lead)

Fullstack Data Scientist (Lead)

Product Engineering Data Scientist Soho, London

Senior Data Scientist II

Senior Data Scientist II

Data Scientist, Marketing Insights and AnalyticsData Scientist, Marketing Insights and Analytics

Get AI-powered advice on this job and more exclusive features.

Responsibilities
About the Team

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.

About the Role
You will join a team that is 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
- Bridge technical expertise with business needs by designing scientifically
rigorous experiments and translating complex findings into actionable
insights for non-technical stakeholders.
- Design, conduct, and analyze A/B experiments to optimize marketing
campaign performance and guide strategic decision-making.
- Develop and maintain reporting dashboards and data pipelines to improve
efficiency, enhance cross-organizational synergy, and streamline internal
workflows.
- Partner closely with marketing and cross-functional teams (research,
insights & analytics, product, operations) to improve internal tool alignment
and automation.
- Define and implement key marketing measurement frameworks, proactively
identifying opportunities to improve campaign effectiveness through data-
driven insights.
- Develop audience targeting strategies based on data science methodologies
to enhance marketing precision and impact.
- Develop knowledge of marketing strategy and experimentation best
practices to expand analytical capability and business impact.
- Support marketing research by applying advanced analytics to answer
critical business questions and uncover market opportunities.
- Influence stakeholders and drive impact without formal authority by
leveraging data-driven insights and strategic recommendations.

Qualifications
Minimum Qualifications

- Experience applying scalable analytics solutions in a marketing or growth-
related environment.
- Strong communication and presentation skills, with the ability to influence
decision-making.
- Experience working with cross-functional teams, including engineering and
product teams, to develop automated solutions.

Preferred Qualifications
- Familiarity with advanced marketing measurement techniques, such as
attribution modeling, incrementality testing, and meta-analysis.
- Strong expertise in hypothesis testing, A/B testing, and causal inference
methodologies.
- Proficiency in SQL and Python or R for data analysis and pipeline
development.
- Experience designing, maintaining, and optimizing reporting dashboards and
data pipelines.
- Proven ability to analyze metric movements, identify drivers, and derive
insights.
- Experience working with non-technical stakeholders, translating data
findings into strategic recommendations.

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, and we also have 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 is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Seniority level

  • Seniority levelAssociate

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesTechnology, Information and Media

Referrals increase your chances of interviewing at TikTok by 2x

Get notified about new Data Scientist jobs in London, England, United Kingdom.

London, England, United Kingdom 3 weeks ago

Associate Data Scientist, Growth Analytics

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 3 days ago

London, England, United Kingdom 17 hours ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

Data Scientist – Experimentation & Measurement

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 17 hours ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 4 days ago

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.