Apply

Data Science Manager

Posted 4 days agoViewed

View full description

๐Ÿ’Ž Seniority level: Manager, 3+ years

๐Ÿ“ Location: United States

๐Ÿ’ธ Salary: 217000.0 - 303900.0 USD per year

๐Ÿ” Industry: Data Science

๐Ÿข Company: Reddit๐Ÿ‘ฅ 1001-5000๐Ÿ’ฐ $410,000,000 Series F over 3 years ago๐Ÿซ‚ Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

โณ Experience: 3+ years

๐Ÿช„ Skills: LeadershipPythonSQLData AnalysisETLMachine LearningPeople ManagementProduct ManagementCross-functional Team LeadershipStrategyProduct AnalyticsAlgorithmsData sciencePandasCommunication SkillsAnalytical SkillsData visualizationA/B testing

Requirements:
  • Experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
  • Experience with a team of 5+ data scientists.
  • Expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
  • Proficiency in SQL and Python/R
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.
Apply

Related Jobs

Apply

๐Ÿ“ United States, EU

๐Ÿงญ Full-Time

๐Ÿ’ธ 161000.0 - 224000.0 USD per year

๐Ÿข Company: Taskrabbit๐Ÿ‘ฅ 251-500๐Ÿ’ฐ Secondary Market over 9 years agoMarketplaceE-CommerceJanitorial ServiceFacilities Support ServicesFreight ServicePeer to PeerSharing Economy

  • 7+ years of experience in data science, analytics, or a related quantitative field, with a proven track record of delivering impactful results.
  • 3+ years of leadership experience, managing and scaling high-performance data science/analytics teams (5+ direct reports preferred).
  • Strong technical expertise in statistical methods, experiment design, and machine learning, with proficiency in SQL and at least one programming language (Python, R).
  • Experience with modern data platforms (AWS, GCP, Spark) and BI tools (Looker, Tableau) to support scalable analytics.
  • Exceptional communication and stakeholder management skills, with the ability to translate complex data insights into clear, actionable recommendations for diverse audiences, including executives.
  • Strategic mindset and business acumen, with a history of guiding data-driven product innovation and aligning initiatives with company goals.
  • Proven ability to influence cross-functional teams and drive alignment in a fast-paced environment, shaping product roadmaps through data-backed narratives.
  • Drive data-informed decision-making by synthesizing key insights that influence product roadmaps and strategic initiatives.
  • Serve as a trusted advisor to Product, Engineering, Design, Marketing, and Operations, translating complex analyses into actionable recommendations.
  • Define the long-term strategy for Taskrabbitโ€™s Data Science organization, ensuring alignment with business objectives.
  • Hire, develop, and mentor a high-performing, diverse team of data scientists and analysts.
  • Lead the development and adoption of robust experimentation frameworks (A/B testing, multi-variant testing) to drive data-driven product improvements.
  • Partner with Engineering to build and maintain scalable data infrastructure that powers advanced analytics and research.
  • Balance short-term execution with long-term innovation, consistently measuring and reporting on the ROI of data science initiatives.

AWSLeadershipPythonSQLGCPMachine LearningPeople ManagementData scienceSparkCommunication SkillsData visualizationTeam managementStakeholder managementStrategic thinkingData modelingData analyticsData managementA/B testing

Posted 9 days ago
Apply
Apply

๐Ÿ“ SF, LA, CHI, NY

๐Ÿงญ Full-Time

๐Ÿ’ธ 232500 - 325500 USD per year

๐Ÿ” Online advertising

๐Ÿข Company: Reddit๐Ÿ‘ฅ 1001-5000๐Ÿ’ฐ $410,000,000 Series F over 3 years ago๐Ÿซ‚ Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

  • PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
  • If M.S. degree, a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 6+ years of industry data science experience required
  • 4+ years of management experience; experience managing managers is a bonus
  • Strong programming skills in Python or R and SQL
  • Experience in building data foundations and enabling self-serve analytics
  • Deep understanding of online experimentation and causal inference
  • Ability to communicate technical topics and high-level strategies
  • Comfortable in innovative and fast-paced environments with a bias toward action
  • Results-oriented with strong customer and business focus
  • Track-record of driving product roadmap and execution with strong cross-org collaborations
  • Ability to tackle ambiguous and undefined problems
  • Inspire, lead, and grow a team of data scientists to achieve long-term vision
  • Drive analytics/data science projects end-to-end in partnership with product teams
  • Analyze large datasets to identify trends and insights for advertiser adoption and user experience
  • Influence strategy and shape roadmap using team insights
  • Create A/B testing and statistical frameworks to analyze product performance
  • Develop and execute a data science roadmap for the team
  • Stay updated with industry best practices and emerging technologies
  • Foster a culture of innovation, collaboration, and technical excellence
  • Contribute and leverage knowledge within the Data Science Org

PythonSQLMachine LearningStrategyData scienceCollaboration

Posted 3 months ago
Apply