FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesCloudPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design and improve graph-based approaches for identity resolution across devices, households, and identifiers which improve match quality, coverage, and stability across a rapidly changing identity landscape.
- Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets, build models, and productionize data science workflows.
- Contribute production-grade code to shared repositories, using strong engineering practices to build clear, scalable, and maintainable systems.
- Define validation strategies and measure model performance and business impact on targeting, measurement, and attribution.
- Help shape the team’s approach to identity science and partner across Engineering, Product, and Analytics to deliver production-ready solutions.
- Leverage LLMs, AI editors (Cursor, Copilot, Claude Code), and agentic workflows to accelerate research, prototyping, documentation, testing, and iteration.
- Apply privacy-by-design principles to ensure identity science work is auditable, compliant, and aligned with governance standards.
Requirements
What you’ll need- 5+ years of experience in data science, machine learning, or applied research working with large-scale datasets in production.
- Strong experience building identity graphs, entity resolution systems, record linkage pipelines, or related graph-based matching systems.
- Deep expertise in Scala, Spark, SQL, and/or Python for distributed processing, model development, and experimentation.
- Strong foundation in applied statistics, machine learning, graph algorithms, clustering, probabilistic matching, and model evaluation.
- Experience productionizing data science solutions in partnership with engineering, including testing, monitoring, and reproducibility.
- Experience mentoring data scientists and helping define technical direction across a team.
- Comfortable with AI-assisted workflows and modern development tools, including LLMs.
- Deep ownership mindset - you care about correctness, explainability, scalability, observability, and maintainability.
- Entrepreneurial, customer-first mindset - you connect identity science quality to marketing performance and attribution accuracy.
Benefits
Comp & perks- 100% remote within the US
- Flexible vacation policy
- Annual vacation allowance for travel related expenses
- Three-day weekend every month of the year
- Competitive compensation
- 100% healthcare coverage
- 401k plan
- Flexible Spending Account (FSA) for dependent, medical, and dental care
- Access to coaching, therapy, and professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ScalaSparkSQLPythondata sciencemachine learninggraph algorithmsclusteringprobabilistic matchingmodel evaluation
Soft Skills
mentoringtechnical directionownership mindsetcustomer-first mindsetcollaborationcommunicationproblem-solvingadaptabilityattention to detailleadership
