Data Scientist - Trust and Safety, Fraud and Customer Experience

1 Month ago • 3 Years + • Data Analysis • $100,000 PA - $115,000 PA

Job Summary

Job Description

Favorited is seeking a Data Scientist to join their Trust and Safety team, focusing on Fraud and Customer Experience. The ideal candidate will lead projects, mentor team members, and create visualizations to communicate key findings. Responsibilities include identifying potential threats, analyzing threat actor behavior, designing predictive models for abusive behaviors, building dashboards, strengthening intelligence-gathering processes, partnering with the fraud team, and collaborating with cross-functional teams. The role requires a strong analyst with a talent for identifying harmful patterns and translating data into actionable insights, working effectively with diverse stakeholders to create scalable solutions.
Must have:
  • Expertise in integrity and authenticity, violent behaviors, or dangerous actors
  • At least 3 years of experience in threat discovery and prevention
  • Advanced skills in statistical analysis, SQL, and Python or R
  • Experience building dashboards and visualizing data
  • Strong understanding of machine learning concepts
  • Proven track record of identifying malicious behaviors
  • Experience leading projects, mentoring staff, and managing stakeholders
  • Strong project management skills
  • Resilience and commitment to self-care
Good to have:
  • Familiarity with deep learning or recommendation systems
Perks:
  • Unlimited PTO
  • 401(k) plan
  • Comprehensive health insurance
  • Paid company holidays
  • Competitive salary

Job Details

Data Scientist - T&S, Fraud and CX

At favorited, we believe that digital communities should be more than just spaces to watch content. Our platform is a place to connect, engage, and play, and empowers creators by enhancing audience participation, fostering deeper connections, and ensuring that creators are compensated fairly for their work.

Our work culture is intense and isn’t for everyone. But if you are a self starter who wants to build the future of social interaction alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

The Problems You’ll Solve

We are looking for a data scientist to join our trust and safety team at favorited. You will be a leader who can manage projects, mentor team members, and create visually compelling dashboards to communicate key findings.

Responsibilities:

  • Collaborate with a team of experts to proactively identify potential threats and build scalable protections to address them.

  • Analyze behaviors and tactics of threat actors, collect high-confidence signals, and work with engineers to enhance detection models and create data-driven mitigation strategies.

  • Design and test predictive models to identify abusive behaviors and improve feature integrity.

  • Build and maintain dashboards to visualize analytics and present actionable insights to stakeholders.

  • Strengthen investigation and intelligence-gathering processes by improving standard operating procedures.

  • Partner with the fraud team to analyze data patterns related to fraudulent activities, develop detection models, and create mitigation strategies to safeguard user transactions and platform integrity.

  • Work cross-functionally with product, operations, policy, and communications teams to identify gaps in threat detection and mitigation processes.

  • Mentor and support data scientists and analysts to execute the team roadmap and achieve goals.

What We’re Looking For

As a data scientist, you are an insightful analyst with a talent for identifying harmful patterns and turning data into actionable insights. Ideally you are, a team player who can collaborate with diverse stakeholders to create effective and scalable solutions.

Minimum Requirements:

  • Expertise in at least one of the following areas: integrity and authenticity, violent behaviors, or dangerous actors.

  • At least 3 years of experience in threat discovery and prevention

  • Advanced skills in statistical analysis, SQL, and programming languages such as Python or R.

  • Experience building dashboards and visualizing data through tools like Mode, Tableau, Power BI, or similar platforms.

  • Strong understanding of machine learning concepts, including model design and testing; familiarity with deep learning or recommendation systems is a plus.

  • A proven track record of identifying malicious behaviors and creatively developing solutions to mitigate threats.

  • Experience leading projects, mentoring staff, and managing stakeholder relationships.

  • Strong project management skills to ensure impactful outcomes and align with team priorities.

  • Resilience and commitment to self-care to manage the challenges of working with sensitive content.

Salary & Benefits

Compensation: $100k - $115k

Benefits Include:

  • Unlimited PTO to prioritize work-life balance.

  • 401(k) plan to invest in your future.

  • Comprehensive health insurance to support your well-being.

  • Paid company holidays for time to recharge.

  • Competitive salary that values your expertise and contributions.

Where You’ll Work: This is a full time on-site position in Santa Monica.

To apply, skip the cover letter. Submit your resume and share a project you've worked on that shows your experience. You can email this to martin@favorited.com.

favorited is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Employees may be eligible for family and medical leave under the California Family Rights Act (CFRA) or Pregnancy Disability Leave (PDL).

In compliance with the California Equal Pay Act, the salary range for this position is provided above. Actual compensation may vary based on experience, qualifications, and location.

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Santa Monica, California, United States (Hybrid)

Santa Monica, California, United States (Hybrid)

Santa Monica, California, United States (On-Site)

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