At Reddit we continue to grow our teams with the best talent. This role is completely remote friendly within the USA and we also have offices in San Francisco, Los Angeles, Chicago and New York.
The Safety Insights Data Science Team at Reddit is growing and we are looking for an experienced Data Science Manager to lead a team of talented data scientists to make Reddit the safest and well moderated platform in the world by uncovering insights and driving strategic initiatives. This role will collaborate closely with cross-functional partners (Product, Engineering, Design, Enforcement, Threat Analysts, Operations, Marketing) to help us build and improve the systems that continuously drive impact.
Responsibilities:
- Directly lead a team of data scientists supporting two critical organizations within the company, Safety & Moderation. Mentor the existing team while continuing to add great new talent to the organization.
- Serve as a thought leader, drawing on your deep domain expertise - including understanding of user needs and business goals and the evolving ML and LLM landscape.
- Drive the adoption of strategic and tactical recommendations that are based on (1) deep and hands-on experience with Reddit products, and (2) data skills and understanding, to maximize our value to Reddit consumers.
- Serve as a thought-partner for product managers, engineering managers and leadership across our Safety & Moderation orgs, communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights.
- Be proactively involved in all phases of enforcement strategy and product development, including but not limited to, ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation and decision-making, post-launch monitoring/measurements etc.
- You will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs, reporting dashboards and data aggregations needed for business tracking and/or ML model development.
Required Qualifications:
- Track record of driving trust & safety product strategy and roadmaps through analytics, particularly for consumer technology products and marketplaces.
- Proven success building, leading, and developing high-performing product analytics and modeling teams (ideally 5+ years of leadership, managing a team of 5+ data scientists).
- Demonstrated expertise in leading teams focused on causal inference, A/B testing experimentation, metric definition and governance, and product strategy development.
- Experience Overseeing ML/LLM development or evaluation processes.
- Track record of leading initiatives that enable analytics self-serve capabilities for cross-functional teams.
- Skilled communicator, effectively engaging both highly technical and non-technical audiences.
- Ability to translate nuanced complex concepts and systems into simple, easily understandable terms.
- Proficiency in SQL and Python/R for hands-on data analysis, including working side-by-side with data teams.
- Adopts a collaborative approach, using evidence-based insights to form and advocate for product opinions.
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k Match
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Reddit Global Days off
- Generous paid Parental Leave
- Paid Volunteer time off
#LI-SP1
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Top Skills
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
