... Manager, guide model outputs, and reduce the manual "glue work" required from strategists today ... Build and scale AI-powered creative workflows that connect Reddit's data infrastructure, creative ...
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Creative Technologist, KarmaLab
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... Manager, guide model outputs, and reduce the manual "glue work" required from strategists today ... Build and scale AI-powered creative workflows that connect Reddit's data infrastructure, creative ...
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$115K - $161K/yr
... Manager, guide model outputs, and reduce the manual "glue work" required from strategists today ... Build and scale AI-powered creative workflows that connect Reddit's data infrastructure, creative ...
Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.
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Professor - Data Science - Tenured Department: Proteomics Salary: Open Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished ...
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Manhattan, NY · On-site
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Advocate for sound data management and partner with data engineering on upstream data quality and ... Qualifications * 8+ years in data science or machine learning roles, with at least 3-5 years ...
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Director, Data Science
Manhattan, NY · On-site
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Director, Data Science
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Manager Reddit Data Science information
See Basking Ridge, NJ salary details
$31.9K - $45.2K
7% of jobs
$45.2K - $58.4K
8% of jobs
$67.3K is the 25th percentile. Wages below this are outliers.
$58.4K - $71.6K
14% of jobs
$71.6K - $84.8K
18% of jobs
The median wage is $87.1K / yr.
$84.8K - $98K
15% of jobs
$98K - $111.2K
7% of jobs
$121.1K is the 75th percentile. Wages above this are outliers.
$111.2K - $124.4K
7% of jobs
$124.4K - $137.6K
6% of jobs
$137.6K - $150.8K
6% of jobs
$150.8K - $164K
4% of jobs
$164K - $177.3K
6% of jobs
$31.9K
$100.1K
$177.3K
How much do manager reddit data science jobs pay per year?
How much do Reddit data science managers make?
Is 30 too late for data science?
What are the key skills and qualifications needed to thrive as a Manager, Reddit Data Science, and why are they important?
How does a Manager of Reddit Data Science typically collaborate with cross-functional teams to drive data-driven initiatives?
What is the salary of a data science manager?
What is the difference between Manager Reddit Data Science vs Data Scientist Reddit?
| Aspect | Manager Reddit Data Science | Data Scientist Reddit |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Analytics, or related field; often leadership experience | Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders | Analyzes data, develops models, reports findings |
| Employer & Industry Usage | Tech companies, online platforms, social media firms | Tech, finance, healthcare, research organizations |
The main difference is that a Manager Reddit Data Science oversees teams and projects, focusing on strategic leadership, while a Data Scientist Reddit primarily conducts data analysis and model development. Both roles require strong technical skills, but the manager role emphasizes leadership and project management.
What is the 80 20 rule in data science?
What does a Manager of Reddit Data Science do?

Job description
Reddit's KarmaLab is the creative engine behind the Global Sales Organization, helping brands show up on Reddit in ways that feel authentic to the platform while driving real business impact. As Reddit's in-house creative strategy team, KarmaLab partners closely with Sales, Marketing, Product, and advertisers to develop campaigns, creative strategies, and storytelling that connect brands with Reddit communities.
Reddit is seeking a Creative Technologist to join KarmaLab and sit at the center of our AI-powered creative production, turning Reddit's community insights and tools into scalable workflows that help teams go from a brief to client-ready ideas, assets, and reports.
As advertisers increasingly adopt generative tools, you'll help ensure Reddit's AI-generated creative assets are high-quality, brand-safe, and grounded in real community behavior. You'll partner closely with Product, Engineering, and Reddit's AI Strategy function to improve agentic workflows in Ads Manager, guide model outputs, and reduce the manual "glue work" required from strategists today.
Location: Hybrid - New York or Chicago
What You'll Do:
- Build and scale AI-powered creative workflows that connect Reddit's data infrastructure, creative systems, and advertising ecosystem
- Improve and optimize LLM outputs across use cases, including creative tagging, asset generation, reporting, and end-to-end creative system design
- Develop frameworks for evaluating prompts, model outputs, and agentic AI workflows to support scalable production use cases
- Test and operationalize agentic AI frameworks and multi-agent systems that automate creative analysis, reporting, and asset generation
- Partner with Product and Engineering to build stakeholder-facing applications, dashboards, and tools that surface actionable creative insights and Reddit-native recommendations
- Automate and streamline creative reporting, workflows, and other manual processes across KarmaLab and the broader business
Qualifications:
- 5-8+ years of professional experience across AI, data, creative strategy, or creative technology
- Experience using AI to transform workflows, build tooling, or scale creative systems
- Strong understanding of cultural insights, brand strategy, consumer behavior, or agency planning
- Advanced SQL skills and experience working with databases such as BigQuery
- Experience building or maintaining data pipelines and API integrations
- Experience developing frameworks for optimizing and evaluating LLM outputs
- Familiarity with agentic AI systems, multi-agent orchestration, or AI workflow automation
- Experience building dashboards or data visualization tools using platforms like Looker or Hex
- Comfortable operating in fast-moving, ambiguous, experimental environments
- Collaborative, builder-oriented mindset with a strong bias toward execution
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