Data Scientist jobs in United States
Explore 766 matching jobs.
Principal Data Scientist, User Ecosystem
Reddit, Inc.
Posted: 10/21/2026Senior Data Scientist, Product
Mudflap
Posted: 10/21/2026Senior Manager, Data Science
Alcon
Posted: 10/21/2026Senior Data Scientist
GE Aerospace
Posted: 10/21/2026Data Science Co-Op
Analytic Partners
Posted: 10/21/2026Senior Data Scientist
BeOne Medicines
Posted: 10/21/2026Data Scientist
CACI International Inc
Posted: 10/21/2026Data Scientist
Significance
Posted: 10/21/2026Data Manager, Databricks
Allata
Posted: 10/21/2026Senior Manager, Data
The Athletic
Posted: 10/21/2026Senior Data Scientist
BranchLab
Posted: 10/21/2026Senior AI Data Scientist
Fiserv
Posted: 10/21/2026Senior Manager – Data Management
Autolus Therapeutics
Posted: 10/21/2026Director, Data Science
TWG Global
Posted: 10/21/2026Data Scientist
Guidehouse
Posted: 10/21/2026Senior Data Scientist – Measurement
InMarket
Posted: 10/21/2026Data Scientist
Lunar Solar Group
Posted: 10/21/2026Director, Data Science – AI Evidence Extraction
Johnson & Johnson
Posted: 10/21/2026Director, Data Science – GenAI – Neuroscience
Johnson & Johnson
Posted: 10/21/2026Director, Data Science – AI Evidence Extraction
Johnson & Johnson
Posted: 10/21/2026
Principal Data Scientist, User Ecosystem
Reddit, Inc.Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates deep expertise in consumer science, with advanced knowledge of machine-learning methods and the ability to translate complex technical findings into actionable business decisions. Proven experience in modeling systems involving users, content, and communities, alongside exceptional communication skills to influence stakeholders.
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities
- Build a durable understanding of users, their intent, needs, and behaviors that lead to lasting value
- Develop models and frameworks representing users, content, communities, and relationships over time for systems operating at scale
- Determine how to measure consumer and ecosystem health when objectives compete and short-term engagement differs from long-term value
- Set learning agendas and steer experimentation strategy to distinguish durable improvement from temporary metric movement
- Build measurement systems evaluating heterogeneous effects across user personas, acquisition cohorts, platforms, content types, and community stages, and guide production actionability
- Ensure coherence around ecosystem interactions, including feedback loops, selection effects, interference, distribution shift, content supply, and other ecosystem risks
- Translate complex technical findings into clear product and business decisions
- Develop exceptional scientists through mentoring and influence data science organization health and direction
- Partner with leaders across Product, Engineering, Research, and Community to turn ambiguous consumer problems into scientific questions, analytical systems, and decisions improving Reddit at scale
Requirements
What you’ll need- Deep expertise in at least one relevant consumer science area, with breadth to work across adjacent domains
- Deep understanding of modeling and optimizing systems involving users, content, communities, and feedback loops
- Ability to frame and lead ambiguous questions and develop a rigorous path from evidence to action
- Exceptional technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs
- Advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential or contextual models
- Experience with deep-learning frameworks such as PyTorch or JAX
- Experience working across Product, Engineering, Research, and other partner teams
- Excellent written and verbal communication, with ability to influence senior stakeholders and explain technical ideas clearly
- Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products
Benefits
Comp & perks- Equity in the form of restricted stock units
- Potential commission, depending on the position offered
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) program with employer match
- Generous vacation time off
- Parental leave
- Reasonable accommodations for qualified individuals with disabilities and disabled veterans
- Option to opt out of AI interview recording, transcription, and summarization
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