[Remote] Senior Data Science Manager, Safety & Mods at Reddit

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Social MediaIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningLLMMentoringLeadershipInsights AnalysisProduct StrategyCross-functional CollaborationSQLPython

Questions & Answers

Common questions about this position

Is this role remote-friendly?

Yes, this role is completely remote friendly within the USA, with offices also available in San Francisco, Los Angeles, Chicago, and New York.

What leadership experience is required for this position?

The role requires 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.

What domain expertise is needed for this role?

Candidates need a track record of driving trust & safety product strategy and roadmaps through analytics, particularly for consumer technology products and marketplaces, along with deep domain expertise including understanding of user needs, business goals, and the evolving ML and LLM landscape.

What does the team structure look like for this manager role?

You will directly lead a team of data scientists supporting Safety & Moderation organizations, mentoring the existing team while adding new talent.

What makes a strong candidate for this Data Science Manager position?

Strong candidates have a proven track record in trust & safety analytics for consumer products, 5+ years leading teams of 5+ data scientists, and expertise in deep-dive analyses, experimentation, ML/LLM, and cross-functional collaboration.

Online platform for community discussions and content

About Reddit

Reddit is an online platform that allows users to post, vote, and comment on content within various communities based on shared interests. Users can engage in discussions on a wide range of topics, from news and sports to entertainment and hobbies. The platform features a unique voting system where content can receive upvotes or downvotes, helping the most popular posts gain visibility. Reddit generates revenue primarily through advertising, premium memberships, and the sale of virtual goods like Reddit Coins. Unlike many other social media platforms, Reddit emphasizes community-driven content and discussions, creating a space for authentic interactions among users. The goal of Reddit is to foster engagement and connection among its diverse user base.

San Francisco, CaliforniaHeadquarters

2005Year Founded

$1,177.1MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

1,001-5,000Employees

Benefits

Comprehensive health benefits

Flexible unlimited vacation days & monthly global wellness days

Family planning funds & 4+ months paid parental leave

Personal & professional development funds

Paid volunteer time off

Workspace & home office benefits

Risks

Reliance on advertising revenue faces competition from platforms like TikTok and Instagram.

AI tools like 'Reddit Answers' may raise privacy and data usage concerns.

NFT market expansion exposes Reddit to volatility and regulatory scrutiny.

Differentiation

Reddit's unique voting system promotes engaging and authentic content discovery.

The platform's diverse communities cater to a wide range of interests and discussions.

Reddit's AI-powered tools enhance user experience and content moderation.

Upsides

Reddit's confidential IPO plans signal potential growth and market expansion.

AI-driven content moderation can improve user safety and platform reliability.

Expansion into blockchain and NFTs opens new revenue streams and user engagement.

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