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CordialCordialUnited States

Data Scientist - Production Engineering

Data Scientist focused on operationalizing, optimizing, and scaling production data science models and pipelines. Requires 3+ years production experience, strong Python skills, and expertise in AWS, data pipelines, and data warehouses.

140k – 175k
Remote3+ YOEData Science

About the role

Key Responsibilities

  • 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

Required Experience & Qualifications

  • 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

Compensation & Benefits

  • $140,000.00 - $175,000.00 base salary annually
  • Equity and bonus
  • Medical/dental/vision/life benefits
  • 401k match
  • Flexible time off and paid company holidays
  • Annual company conference
  • Childcare and continued education yearly reimbursements

Skills

PythonDagsterAirflowAWSGlueAthenaECSS3SnowflakeBigQueryDistributed Computing

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