At a Glance
- Tasks: Join a dynamic team to analyse marketing data and drive impactful strategies.
- Company: TikTok is a leading platform for short-form mobile video, inspiring creativity globally.
- Benefits: Enjoy a full-time role with opportunities for remote work and diverse corporate perks.
- Why this job: Be part of a mission-driven company that values creativity, innovation, and teamwork.
- Qualifications: Experience in analytics, strong communication skills, and familiarity with SQL or Python required.
- Other info: Diversity and inclusion are at the heart of TikTok's culture, fostering a supportive environment.
The predicted salary is between 28800 - 48000 Β£ per year.
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 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 TikTokβs 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.
- 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.
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.
Data Scientist, Marketing Insights and Analytics employer: TikTok
Contact Detail:
TikTok Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist, Marketing Insights and Analytics
β¨Tip Number 1
Familiarise yourself with the latest marketing measurement techniques, such as attribution modelling and incrementality testing. This knowledge will not only help you understand the role better but also demonstrate your commitment to staying updated in the field.
β¨Tip Number 2
Network with professionals in the marketing analytics space, especially those who have experience with cross-functional teams. Engaging in conversations can provide insights into the role and may even lead to referrals.
β¨Tip Number 3
Brush up on your SQL and Python or R skills, as these are crucial for data analysis and pipeline development. Consider working on personal projects or contributing to open-source projects to showcase your abilities.
β¨Tip Number 4
Prepare to discuss how you've influenced decision-making in previous roles using data-driven insights. Be ready to share specific examples that highlight your ability to communicate complex findings to non-technical stakeholders.
We think you need these skills to ace Data Scientist, Marketing Insights and Analytics
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in marketing analytics. Emphasise your skills in SQL, Python or R, and any experience with A/B testing and marketing measurement techniques.
Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with the responsibilities of the role. Use specific examples to demonstrate your ability to bridge technical expertise with business needs and influence decision-making.
Showcase Your Communication Skills: Since strong communication is key for this role, ensure that your application reflects your ability to present complex data insights clearly. Consider including examples of past experiences where you successfully communicated findings to non-technical stakeholders.
Highlight Collaborative Experience: Mention any experience working with cross-functional teams, especially in marketing or product environments. This will show your ability to partner closely with various departments to achieve common goals.
How to prepare for a job interview at TikTok
β¨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, or R. Highlight specific projects where you applied these skills to solve marketing-related problems, and be ready to explain your thought process in detail.
β¨Communicate Effectively
Since the role involves translating complex data findings for non-technical stakeholders, practice explaining your analyses in simple terms. Use examples from past experiences to demonstrate your ability to influence decision-making.
β¨Demonstrate A/B Testing Knowledge
Familiarise yourself with A/B testing methodologies and be ready to discuss how you've designed and analysed experiments in previous roles. Prepare to share insights on how these tests impacted marketing strategies.
β¨Understand Marketing Measurement Techniques
Brush up on advanced marketing measurement techniques like attribution modelling and incrementality testing. Be prepared to discuss how you've used these methods to improve campaign effectiveness in your past work.