Data Science Manager - User Growth

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 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

#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.

The base pay range for this position is:

$217000—$303900 USD