Data Scientist, University Graduate (Monetization Analytics and Ops)-2023 Start (BS/MS)
Full Time
Los Angeles, CA
Posted
Job description
ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.
Team Introduction
We are a team of passionate Data Analysts and Data Scientists who safeguard TikTok's user data and join forces with XFN teams to derive actionable insights to maximize monetization results while still giving users a pleasant experience in our app. We support XFN teams, business partners, advertisers, and customers to achieve more accurate and optimized strategic perspective, tactical planning, and operational actions. Our typical day-to-day work includes deploying data pipelines, building dashboards, troubleshooting, generating reports and working on long-term data analytics projects with XFN partner teams.
We are looking for talented individuals to join our team in 2023. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Successful candidates must be able to commit to one of the following start dates below:
1. January 16, 2023
2. February 6, 2023
3. March 6, 2023
4. May 22, 2023
5. June 12, 2023
6. July 17, 2023
7. August 14, 2023
We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
Application deadline: February 15th, 2023
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Technical Assessment
Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
Responsibilities
- Design and analyze experiments to drive product improvements with cross-functional teams
- Conduct research and analysis to improve the experimentation platform using experimental design and causal inference methods
- Develop and validate new approaches to address business challenges based on statistically rigorous solutions
- Build cross-functional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product roadmaps
- Bachelor's or Master's degree in Computer Science or related fields or equivalent practical experience
- Final year or recent graduate with a background in quantitative discipline (e.g., Statistics, BioStatistics, Political Science, Economics, Quantitative Social Sciences, Computer Science, Mathematics, Physics);
- Extensive knowledge in statistical methodologies, especially hypothesis testing, experimental design and causal inference
- Able to work in an innovative and fast-paced environment
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Practical experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference
- Experience in querying and analyzing large datasets using SQL/Hive, and proficient in scripting languages like Python/R
- Experience with large data sets and distributed computing (Hive/Hadoop) a plus
TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at Accommodations-AMS@tiktok.com.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
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