Data Science Lead

Full time

Employment Information

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Responsibilities

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok’s purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That’s how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

The Marketing Strategy, Insights, and Analytics team plays a vital role in empowering the Marketing organization to make data-driven decisions. By building strategy grounded in actionable insights and analysis, this team helps marketers and cross-functional partners understand their target audiences, evaluate creative, campaign and media strategies and measure their impact. We also build new data and insight capabilities to understand consumer perception and behaviors.

We are looking for an experienced Global Lead - Marketing Data Science to enable the Marketing organization with cutting edge data and analytical capabilities to make decisions. The ideal candidate will have a passion for both marketing and data science, with a proven track record of building new capabilities and enhancing existing ones. You are someone who deeply understands how brand perceptions are formed but also how they lead to desired behaviors. Your ability to build data driven capabilities across the entire marketing funnel will spot light opportunities to drive business outcomes for the team and the stakeholders.

Key Responsibilities

  • Build and improve analytics, measurement and insights capabilities using observational and causal methods.
  • Build predictive and econometric models such as marketing mix models, forecasting, propensity to convert or take next best action, targeting etc using in-house resources or work with best in class partners.
  • Build budget setting, allocation and simulation capabilities to inform optimized investments by market and global to maximize the marketing and business outcomes. Partner with 3rd parties to where needed to build these capabilities.
  • Evaluate new measurement and insight offerings from a methodology point of view and onboard these solutions for application at scale.
  • Utilize advanced analytics techniques and tools to analyze marketing data and extract actionable insights from multiple types of data sources such as attitudinal, behavioral and social listening.
  • Conduct meta analysis of data to present holistic learnings that could be used by rest of the team to understand the holistic impact and optimization strategies for the future.
  • Build data infrastructure to house and create wide access through dashboards for insights data, marketing performance and spend, marketing effectiveness analysis etc.
  • Enable data and analytical foundation for storing, analyzing and reporting data related to owned channels such as email, push and in-app notifications to help cross-functional teams optimize and grow the business impact. Build measurement strategy, learning agendas and report effectiveness focused on owned channels.
  • Stay up-to-date with the latest developments in marketing technology, marketing data science, and analytics, and identify opportunities to leverage emerging trends and technologies.
  • Mentor and coach junior members of the marketing data science team, providing guidance and support to help them develop their skills and expertise.
  • Communicate findings and recommendations to stakeholders through clear and compelling presentations and reports.
  • Collaborate with external partners, including agencies and vendors, to leverage additional expertise and resources as needed.

Qualifications

Minimum Qualifications:

  • Bachelor’s degree in marketing, statistics, mathematics, computer science, or a related field.
  • Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable recommendations.
  • Experience with statistical modeling techniques, machine learning algorithms, and data visualization tools.
  • Demonstrated experience in building data infrastructure and visualizations to make the data accessible around the organization.

Preferred Qualifications

  • Masters or PhD in marketing, statistics, mathematics, computer science, or a related field.
  • Advanced proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy.
  • Experience designing or building data infrastructure, retrieval and visualization systems in partnership with data focused XFN teams. Background in building data infrastructure in partnership with external vendors and partners.
  • Demonstrated experience building new measurement and insights solutions or products internally or in partnership with 3rd parties.

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $147000 - $270000 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.​

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: ​

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. ​

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. ​

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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