Senior Data Scientist (Multiple Positions)
ExternalFull-timeOn-site1w ago
ClassificationClusteringExcelMachine LearningPythonSQL
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About the role
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
- 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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
- Why Join Us
- Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible.
- Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
- We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
- Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come.
- By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users.
- When we create and grow together, the possibilities are limitless.
- Join us.
- Provide insights to support business decisions using advanced statistics, machine learning (ML), and programming.
- Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
- Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
- Build classification and clustering machine learning models to understand data characteristics.
- Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences.
- Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
- Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businesses.
- Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Mentor junior and intern Data Scientists.
Requirements
- Of the required experience, must have 2 years of experience in each of the following:
- Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and R for metrics creation and root cause analysis;
- Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification;
- Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and
- Building, tuning, and validating statistical models for regression and classification problems in Python or R.
- Travel Requirement: International travel required up to 5%.
- Type: Full time, 40 hours/week
- Location: San Jose, CA
- Salary Range: $275850 - $296400 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 providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicabl
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