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- Tasks: Lead a team of data scientists to drive user growth through insights and strategic initiatives.
- Company: Join Reddit, a remote-friendly company with a focus on innovation and collaboration.
- Benefits: Enjoy comprehensive healthcare, flexible vacation, and generous parental leave.
- Other info: Be part of a diverse team committed to equal opportunity and professional growth.
- Why this job: Make a real impact in a dynamic environment while shaping product strategy.
- Qualifications: Advanced degree in a quantitative field and extensive industry experience required.
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.
- 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
- Advanced degree (masters or PhD) in a quantitative field such as statistics, mathematics, physics, economics, or operations research.
- For masters holders, 10+ years of industry experience; for PhD holders, 6+ years of industry experience.
- Experience driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces.
- Brought, led and developed high‑performing product analytics teams; ideally 2+ years of leadership experience as a people manager, leading a team of 5+ data scientists.
- Led initiatives enabling analytics self‑serve for cross‑functional teams.
- Excellent communication with both technical and non‑technical people, translating nuanced complex concepts simply.
- Proficiency in SQL and Python/R for hands‑on analysis; willing to work side‑by‑side with your team when needed.
- A collaborative attitude, natural curiosity and strong evidence‑backed product opinions.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs.
- 401(k) with Employer Match.
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
- Family Planning Support.
- Gender‑Affirming Care.
- Mental Health & Coaching Benefits.
- Flexible Vacation & Paid Volunteer Time Off.
- Generous Paid Parental Leave.
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. 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, visit base salary range for this position is: $217,000—$303,900 USD.
Equal Opportunity Employer
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.
Data Science Manager, Consumer in London employer: Reddit
Contact Detail:
Reddit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager, Consumer in London
✨Tip Number 1
Network like a pro! Reach out to current or former Reddit employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Reddit's products and user growth strategies. Show us that you’re not just another candidate; demonstrate your passion and understanding of how data science can drive user engagement.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've led teams and driven product strategy in the past. We want to hear about your successes and how you tackled challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining the Reddit team.
We think you need these skills to ace Data Science Manager, Consumer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your experience in driving product strategy and analytics, and don’t forget to mention any leadership roles you've had. We want to see how you can bring value to our team!
Show Off Your Skills: Don’t hold back on showcasing your technical skills! Mention your proficiency in SQL and Python/R, and any hands-on analysis you've done. We love seeing candidates who can dive deep into data and come up with actionable insights.
Communicate Clearly: Remember, we’re looking for someone who can communicate complex ideas simply. Use clear language in your application to demonstrate your ability to bridge the gap between technical and non-technical teams. This is key for collaborating with cross-functional partners!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Reddit!
How to prepare for a job interview at Reddit
✨Know Your Data Inside Out
As a Data Science Manager, you'll need to demonstrate your deep understanding of data analytics. Brush up on your SQL and Python/R skills, and be ready to discuss specific projects where you've used these tools to drive product strategy. Prepare examples that showcase your hands-on experience with data-driven decision-making.
✨Showcase Leadership Experience
Highlight your experience in leading high-performing teams. Be prepared to share stories about how you've developed your team members and fostered a collaborative environment. Discuss any initiatives you've led that enabled analytics self-serve for cross-functional teams, as this will resonate well with the interviewers.
✨Communicate Clearly and Effectively
You'll be working closely with both technical and non-technical stakeholders, so practice translating complex concepts into simple terms. During the interview, focus on your communication style and ensure you can convey your insights clearly. Use examples from past experiences where effective communication made a difference.
✨Be Proactive and Curious
Demonstrate your proactive approach by discussing how you've been involved in all phases of product development. Show your curiosity by asking insightful questions about Reddit's current challenges and opportunities. This will not only show your interest in the role but also your strategic thinking capabilities.