Data Science Manager, User Growth
Job Summary
Reddit is seeking an experienced Data Science Manager to lead a team of data scientists focused on driving user growth through insights and strategic initiatives. The role involves collaborating with cross-functional teams to improve systems that support Reddit's growth, utilizing deep analytical skills and product knowledge. Key responsibilities include guiding product strategy, conducting deep analyses, and supporting experimentation and data quality. The ideal candidate has leadership experience in product analytics, proficiency in SQL and Python/R, and a collaborative, curious approach to problem-solving.
Required Skills
Benefits
Job Description
Location: US remote-friendly or any office location - SF, LA, CHI, NY
At Reddit we continue to grow our teams with the best talent. We're completely US remote friendly.
The 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 drive and optimize user growth by uncovering insights and driving strategic initiatives. This role will collaborate closely with cross-functional partners (Product, Engineering, Design, Marketing) to help us build and improve the systems that continuously drive our user growth.
Responsibilities:
- 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 from your respective product domain, 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 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:
- You have experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
- You have built, led and developed high performing product analytics teams before: ideally 3+ years of leadership experience as a people manager, leading a team of 5+ data scientists.
- Teams you have led had expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
- You have led initiatives to enable analytics self serve for cross-functional teams
- You excel at communicating to both technical and non-technical people
- You have an ability to understand nuanced complex concepts and systems, and explain them simply.
- You are proficient in SQL and Python/R for hands-on analysis. You can roll up your sleeves and work side by side with your team when needed
- You have a collaborative attitude and natural curiosity and strong evidence-backed 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-Remote #LI-NH1
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.
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.
A social media platform where users create and participate in communities (subreddits) to discuss a wide range of topics, share content, and connect.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.