Senior Data Science Engineer — AI Risk & Production ML

Rippling; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible work options

Job summary

LegitScript in the United States seeks a senior Data Scientist to own end-to-end ML solutions for risk detection within our SaaS platform. You will blend data engineering with model development to ship production-grade APIs that drive measurable business impact.

You will work with Python, Spark, and cloud data platforms, building scalable pipelines, monitoring model performance, and translating complex outputs into actionable codes for product teams.

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 — 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 (Terraform), and Docker.
• Experience with orchestration tools such as Databricks Workflows or Apache Airflow.

Responsibilities

• 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 — 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.
• 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.

Skills

Data science

Machine learning

Python proficiency

SQL proficiency

Model deployment

Tools

Spark/PySpark

Databricks

Snowflake

dbt

Airflow

MLflow

Weights & Biases

Docker

Terraform

Job description

LegitScript in the United States seeks a senior Data Scientist to own end-to-end ML solutions for risk detection within our SaaS platform. You will blend data engineering with model development to ship production-grade APIs that drive measurable business impact.

You will work with Python, Spark, and cloud data platforms, building scalable pipelines, monitoring model performance, and translating complex outputs into actionable codes for product teams.