Senior Data Science Engineer @LegitScript
Data and Analytics
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 4d ago

[Hiring] Senior Data Science Engineer @LegitScript

4d ago - LegitScript is hiring a remote Senior Data Science Engineer. πŸ’Έ Salary: unspecified πŸ“Location: USA

Role Description

You'll own the full lifecycle β€” from raw data ingestion to model deployment to measuring real-world business impact β€” with a current focus on building a sophisticated risk detection system using LLMs, Generative AI techniques, and classical ML within our SaaS platform. This is not a pure engineering role or a pure research role. You'll need both, and you'll need to move fluidly between them.

What You'll Do

  • Data Science & Applied ML:
    • Research, prototype, and develop ML and LLM-based models to solve complex business problems, with a current focus on risk detection and prioritization.
    • Wrap models into production-ready APIs and integrate them into our core product.
    • Ensure model outputs are interpretable β€” translating predictions into actionable reason codes for end users.
    • Partner directly with operational teams to gather feedback, refine features, and improve model relevance over time.
  • Data Engineering:
    • Design, build, and maintain scalable pipelines to ingest data from disparate sources into our data warehouse/lake.
    • Implement robust data validation, quality checks, and transformation workflows across raw, curated, and serving layers.
    • Build and maintain curated datasets optimized for both analytics and model training use cases.
  • MLOps & Production Ownership:
    • Implement and maintain CI/CD pipelines for both data workflows and ML model deployment across environments.
    • Monitor pipeline latency, data drift, and model performance in production; design alerting and retraining triggers.
    • Own the business outcomes of your models β€” define success metrics, track ROI, and iterate based on real-world efficacy.
    • Manage infrastructure as code and containerized deployments to ensure reproducible, environment-consistent releases.

Qualifications

  • 5–8+ years spanning data engineering and data science/ML, with a demonstrated track record of shipping models to production.
  • Strong Python proficiency; experience with Spark/PySpark for large-scale data processing.
  • Advanced SQL for complex transformation, analysis, and data modeling.
  • Hands-on experience with cloud data platforms such as Databricks or Snowflake.
  • Experience with ETL/ELT frameworks β€” dbt, Lakeflow Declarative Pipelines, Databricks Autoloader, Informatica, or similar.
  • Familiarity with ML experiment tracking tools such as MLflow or Weights & Biases.
  • DevOps fluency: Git-based development, branching strategies, CI/CD, IaC (DABs/Terraform), and Docker.
  • Experience with orchestration tools such as Databricks Workflows or Apache Airflow.

Strong Plus

  • Hands-on experience with LLMs and Generative AI techniques in a production context (prompt engineering, RAG architectures, fine-tuning, or evaluation frameworks).
  • Experience building or operating ML platforms, feature stores, or model registries.
  • Prior work in risk, compliance, fraud detection, or other high-stakes ML domains.

Benefits

  • Competitive compensation.
  • Flexible work options.
  • A team that's genuinely invested in your success.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Data Science Engineer @LegitScript
Data and Analytics
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 4d ago
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️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply βœ“
Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
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Application Denied βœ“
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