Role OverviewJoin a small, highly technical AI company solving difficult problems at the intersection of data science, consumer intelligence, and agentic AI. Work with massive datasets and own the full path from raw data to production-ready attributes and models that directly power AI agents and enterprise customer experiences.
What You Will Do
Build and deploy applied data science models supporting large-scale consumer data products, stitch together disparate third-party data sources into unified consumer profiles, and develop probabilistic models for income, wealth, affinity, and other consumer attributes.
Why It Might Be a Fit
If you enjoy applied data science, working with messy real-world data, building production models, solving ambiguous quantitative problems, and operating with high ownership in a fast-moving AI environment, this role offers exceptional technical scope and impact.
Requirements
- 2–10 years of professional experience in applied data science
- 2+ years of hands-on experience building production data science systems
- Strong applied data science background
- Experience building and deploying statistical or machine learning models
- Experience working with large-scale datasets
- Experience working with terabyte-scale data preferred
- Experience building production feature engineering pipelines
- Experience taking models from experimentation through production deployment
- Experience working with complex, fragmented, or noisy datasets
- Experience solving ambiguous data problems independently
- Experience working across data science and data engineering workflows
- Strong analytical and quantitative reasoning ability
- Strong ownership mentality with demonstrated execution ability
- Comfortable operating in a fast-moving startup environment
- Comfortable managing multiple technical workstreams simultaneously
- Experience working directly with business or enterprise requirements preferred
- Experience with consumer data, marketing analytics, identity resolution, or customer intelligence preferred
- Experience working with AI-powered products or agentic systems preferred
- Experience working in technically demanding environments preferred
Benefits
- Base Salary: $200,000 – $225,000
- Competitive equity
- Opportunity to work on large-scale AI and consumer data systems
- Opportunity to solve complex applied data science problems
- Exposure to terabyte-scale production datasets
- Opportunity to build probabilistic consumer models
- Opportunity to work on AI-agent-powered data systems
- Direct ownership over production data science workflows
- Opportunity to work across data science, data engineering, and AI
- Opportunity to work with leading enterprise consumer brands
- High degree of technical autonomy
- Fast-paced and highly technical engineering environment
- Opportunity to work closely with experienced technical leadership
- Visa transfer support
- Visa sponsorship available
- Five-day in-office environment in New York City
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