Data Scientist - Trust and Safety - Los Angeles

It is possible that this role will be exposed to harmful content as part of the core role/as part of project/ in response to escalation requests/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; murder.

Responsibilities:
- Design and implement comprehensive metrics and quantitative measurement frameworks to evaluate and enhance the effectiveness of risk control policies;
- Continuously refine measurement methodologies to ensure accurate tracking of risk control capabilities;
- Lead short-term and long-term strategic planning by conducting in-depth business analysis, industry research, and market trend assessments;
- Translate insights into actionable business plans to improve platform safety and policy operability;
- Partner with stakeholders using data-driven approaches, ensuring alignment with business objectives;
- Monitor policy impacts on risk control capabilities, leveraging statistical methods to establish an efficient decision-making system;
- Abstract and standardize reusable analytical methodologies and tools to enhance team efficiency;
- Collaborate closely with cross-functional teams to provide actionable insights, drive data-informed strategies, and implement improvements;
- Proactively communicate findings and recommendations to leadership, fostering a culture of data-inspired decision-making across the organization.

Qualifications

Minimum qualifications:
- Bachelor's degree or above in mathematics or statistics-related majors, with a solid foundation in statistical, hypothesis testing theories and experimental design;
- Solid experience in quantifying complex problems with many impacting factors, and use statistical methods to seek answers, such as designing experiments, making causal inference;
- Proficient in data analysis and statistical analysis tools such as SQL, Python, R, Excel and Tableau;
- 2+ years of experience in data science related industry, with rich experience in designing success metrics and A/B testing and a deep understanding of risks in globalized products.

Preferred Qualifications:
- Ability to translate technical findings into clear, strategic recommendations for non-technical stakeholders;
- Proven track record of working cross-functionally to drive data-informed initiatives in fast-paced environments;
- Acute ability to grasp company product-related industry technology development trends, and possess strong macro analysis and decision-making capabilities.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $312866 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.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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.