Senior Data Scientist (Multiple Positions)

Responsibilities

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 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.

About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
Develop marketing experiments and models and run scenario analysis to understand the implications of a variety of business decisions on key metrics and share the insights with marketing immediate team to influence strategic decisions.
Develop analytic framework in partnership with internal teams to quantify business impact, diagnose issues, and to bring insights using internal and external data.
Define core metrics, build essential data tracking dashboard, and identify opportunities from our database and 3rd party datasets, and convert the insights into real changes.
Influence stakeholders through data-based recommendations and mobilize cross-functional teams by telling compelling stories with data to drive business impact and innovative breakthrough.
Conduct experimentations to analyze user behavior and optimize for the best outcome regarding core metrics.
Improve data foundations and excel in product logic thinking using data-driven analysis and brings distinctive problem-solving skills and impeccable business judgment.
Define KPIs and develop analytic framework to evaluate the impact of marketing investments on user and non-user outcomes via A/B testing and statistical models.
Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products.
Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
Partner with Marketing, Product, Data Engineering, Finance, User Research, and other teams to solve problems and identify trends and opportunities.
Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

Qualifications

Qualifications
Must have a Master’s degree in Computer Science, Engineering (any), Information Technology, Information Systems Management, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Finance, or a related quantitative field, and 3 years of related work experience; OR a Bachelor’s degree in Computer Science, Engineering (any), Information
Technology, Information Systems Management, Data Science, Data Analytics, Machine Learning, Statistics, Mathematics, Finance, or a related quantitative field, and 6 years of related work experience, out of which 5 years must be post-bachelor’s, progressive related work experience.

Of the required experience, must have 3 years of experience in each of the following:
Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations to support and influence business decisions;
Designing A/B tests, conducting statistical analysis, and interpreting A/B test results to provide insights for product features;
Conducting forecasting and experiment analysis with presentations through visual displays of quantitative information, using visualization tools Tableau and Excel;
Conducting exploratory and predictive analysis using Python and R programming languages;
Cleaning and processing data using SQL-based languages with large scale relational databases; and
Experience in applying data science techniques and principles to develop marketing analytics and solutions.

Type: Full time, 40 hours/week
Location: Culver City, CA
Salary Range: $190950 - $375516 per year

To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.

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 lpresumes@TikTok.com.


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Job Information

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $190950 - $375516 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.​

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.​