Apply faster with JobTailor
RecommendedApply
Apply your way
Use the standard apply link, or let JobTailor help you move faster.
- Apply directly in one click
- No setup required
- Best if you’re in a hurry
✨ Start AI Apply
Tech Stack
Tools & technologiesAirflowAWSBigQueryCloudPython
About the role
Key responsibilities & impact- Optimize existing data science models and systems for performance, scalability, and reliability
- Translate research-grade or prototype data science code into production-ready implementations
- Work with large datasets and improve efficiency related to memory usage, runtime, and compute cost
- Contribute to and maintain production data pipelines and workflows
- Collaborate closely with other data scientists to preserve model intent, correctness, and assumptions while improving implementation quality
- Debug and resolve issues in production or near-production data science workflows
- Improve robustness, monitoring, and maintainability of deployed models and pipelines
- Support iterative model improvements and system evolution as business needs change
Requirements
What you’ll need- Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, plus 3+ years of experience working with real-world, industry, or production data in a data science, applied ML, or analytics role
- Demonstrated experience contributing to production data science or analytics systems, not only exploratory or academic projects
- Strong programming skills in Python and experience writing maintainable, production-quality code
- Experience working with large datasets and performance-sensitive workflows
- Prior experience with data pipelines and orchestration frameworks (e.g., Dagster, Airflow, etc.)
- Cloud platform expertise, particularly AWS services (Glue, Athena, ECS, S3 Tables, etc.) for scalable data processing and model deployments
- Hands-on experience with modern data warehouse solutions (Snowflake, BigQuery, etc.) including query optimization, clustering strategies, and cost management
- Experience with big data technologies and distributed computing frameworks for handling enterprise-scale event datasets
- Solid understanding of data science fundamentals, including statistics and modeling concepts, sufficient to work closely with research-oriented data scientists
- Ability to work independently and ramp up quickly in an existing codebase and system
- Experience working in small, fast-moving teams where ownership and autonomy are expected
Benefits
Comp & perks- Equity and bonus
- Robust benefit plan (medical/dental/vision/life)
- 401k match
- Flexible time off
- Paid company holidays
- Annual company conference
- Childcare reimbursement
- Continued education yearly reimbursements
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
data scienceproduction data scienceapplied MLPythondata pipelinesorchestration frameworksAWSdata warehouse solutionsbig data technologiesdistributed computing
Soft Skills
collaborationdebuggingproblem-solvingindependenceadaptabilityownershipautonomy