TikTok
Senior Data Scientist, Trust and Safety - USDS
TikTok, Los Angeles, California, United States, 90079
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. 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. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Our US Data Security Safety team provides key support for TikTok’s innovative initiatives, state-of-the-art products, and integrated platforms servicing our US market. As a Data Scientist on TikTok's US Data Security Safety - Product team, you will be instrumental in ensuring that TikTok remains a safe, trustworthy, and risk-free environment to create and enjoy content across all of our apps while protecting our brand. The ideal candidate will have a background in statistics and product analytics, will have experience working with large data sets, and will have some experience delivering data products on a fast-paced team. This position will be full-time and will be based in our Los Angeles or Mountain View, CA location. In order to enhance collaboration and cross-functional partnerships, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Senior Data Scientists may be exposed to harmful content as part of their core day-to-day functions, as well as in project work; in response to escalation requests; or by chance. Some content viewed may violate our community guidelines which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; and murder.
Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US Safety effortsThis individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and heartsBe constantly curious and continue to pursue in-depth explorations of our datasets and businessConduct quantitative analysis, deliver insights, and influence US Safety decision making through understanding of user behavior and safety ecosystemIndependently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so onDeep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysisDesign and monitor core metrics; perform root cause analysis to explain driversIdentify trends and opportunities to drive safety initiatives and create a healthy ecosystem for content creators, users, and consumersCollect and provide quantitative and qualitative information to measure risk of feature/product launches and answer strategic business questions
Qualifications
Ph.D., M.S., or Bachelor's degree in Computer Science, Data Science, Mathematics/Statistics and other STEM majors is required6+ years of experience in data science, data analytics, product analytics, quantitative analysis and machine learning experience to build ML-driven products for solving business problemsExperience with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale upExperience in utilizing SQL/Python to extract, manipulate, and analyze datasets.Experience with creating data visualizations to communicate metric performance.Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.Experience building data infrastructure and implementing reporting solutionsStrong communication skills, both verbally and written, capable of communicating with people of many different levels of an organizationYour ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role.Your resilience and commitment to self-care to manage the emotional demands of the role.
Preferred Qualifications
Previous experience in data science, data analytics, or product analytics at a consumer technology company.Passion for social technology products and a curiosity to learn and grow with a fast-paced company.Experience working with international partners in different time zones.
Job Information:
Compensation Description (annually)The base salary range for this position in the selected city is $167,538 - $312,867 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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TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. 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. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Our US Data Security Safety team provides key support for TikTok’s innovative initiatives, state-of-the-art products, and integrated platforms servicing our US market. As a Data Scientist on TikTok's US Data Security Safety - Product team, you will be instrumental in ensuring that TikTok remains a safe, trustworthy, and risk-free environment to create and enjoy content across all of our apps while protecting our brand. The ideal candidate will have a background in statistics and product analytics, will have experience working with large data sets, and will have some experience delivering data products on a fast-paced team. This position will be full-time and will be based in our Los Angeles or Mountain View, CA location. In order to enhance collaboration and cross-functional partnerships, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Senior Data Scientists may be exposed to harmful content as part of their core day-to-day functions, as well as in project work; in response to escalation requests; or by chance. Some content viewed may violate our community guidelines which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; and murder.
Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve the impact of US Safety effortsThis individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and heartsBe constantly curious and continue to pursue in-depth explorations of our datasets and businessConduct quantitative analysis, deliver insights, and influence US Safety decision making through understanding of user behavior and safety ecosystemIndependently design, research, develop and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation and so onDeep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust data analysis; create new data sets when there is little or no data available, to inform marketing analysisDesign and monitor core metrics; perform root cause analysis to explain driversIdentify trends and opportunities to drive safety initiatives and create a healthy ecosystem for content creators, users, and consumersCollect and provide quantitative and qualitative information to measure risk of feature/product launches and answer strategic business questions
Qualifications
Ph.D., M.S., or Bachelor's degree in Computer Science, Data Science, Mathematics/Statistics and other STEM majors is required6+ years of experience in data science, data analytics, product analytics, quantitative analysis and machine learning experience to build ML-driven products for solving business problemsExperience with experimentation and testing of Minimum Viable Products to determine if proposed business models / solutions scale upExperience in utilizing SQL/Python to extract, manipulate, and analyze datasets.Experience with creating data visualizations to communicate metric performance.Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.Experience building data infrastructure and implementing reporting solutionsStrong communication skills, both verbally and written, capable of communicating with people of many different levels of an organizationYour ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role.Your resilience and commitment to self-care to manage the emotional demands of the role.
Preferred Qualifications
Previous experience in data science, data analytics, or product analytics at a consumer technology company.Passion for social technology products and a curiosity to learn and grow with a fast-paced company.Experience working with international partners in different time zones.
Job Information:
Compensation Description (annually)The base salary range for this position in the selected city is $167,538 - $312,867 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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