Data Scientist- Tiktok Ads

$153,000 - $296,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy to over 1 billion users globally. The TikTok Monetization Products data science team plays a crucial role in enabling data-driven decision-making to drive monetization and sustainable revenue growth. As a Data Scientist on this team, you will apply your expertise in quantitative analysis, data mining, and data presentation to understand user interactions with our ads products. You will partner with Product and Engineering teams to identify trends and opportunities, inform product decisions, and support product launches. Your role will involve building and maintaining reports, dashboards, and metrics to monitor product performance, as well as mining large datasets to extract valuable insights. This position requires a proactive approach to project management, with the ability to drive projects to completion with minimal guidance. You will also need to communicate your findings effectively to influence product strategies and decisions.

Responsibilities

• Apply expertise in quantitative analysis and data mining to understand user interactions with ads products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute product decisions based on data insights.
• Build and maintain reports, dashboards, and metrics to monitor product performance.
• Mine large datasets to extract useful product insights.
• Manage development of data resources, gather requirements, organize sources, and support product launches.

Requirements

• 1-5 years of experience in quantitative analysis.
• BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields; advanced degrees preferred but not required.
• Fluency in SQL or other programming languages; some development experience in at least one scripting language (PHP, Python, Perl, etc.).
• Experience with large datasets and distributed computing (Hive/Hadoop) is a plus.
• Ability to initiate and drive projects to completion with minimal guidance.
• Strong communication skills to present analysis results clearly and effectively.
• Basic understanding of statistical analysis.

Nice-to-haves

• Experience with data visualization tools.
• Familiarity with machine learning techniques.
• Knowledge of digital advertising metrics and KPIs.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents.
• Health Savings Account (HSA) with company match.
• Dental and Vision insurance.
• Short/Long term Disability insurance.
• Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave.
• 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.