Senior Data Science Engineer - Remote ML & Risk AI

LegitScript; Northern (KY); Hybrid; USD 160,000 - 175,000; Full time

Job summary

LegitScript is seeking a senior data scientist/ML engineer to own the full lifecycle—from data ingestion to model deployment—focusing on risk detection within our SaaS platform.

You will ship production models, build scalable data pipelines, and collaborate with product and operations to drive measurable ROI. The role is remote in the United States and requires 5-8+ years of experience with Python, Spark, Databricks, and MLflow.

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 with operational teams to 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

Python

Spark/PySpark

Advanced SQL

Cloud platforms

ETL/ELT workflows

ML experiment tracking

DevOps CI/CD

Orchestration

Tools

Databricks

Snowflake

dbt

Lakeflow

Databricks Autoloader

Informatica

MLflow

Weights & Biases

Docker

Terraform

Airflow

Databricks Workflows

Kubernetes

Job description

LegitScript is seeking a senior data scientist/ML engineer to own the full lifecycle—from data ingestion to model deployment—focusing on risk detection within our SaaS platform.

You will ship production models, build scalable data pipelines, and collaborate with product and operations to drive measurable ROI. The role is remote in the United States and requires 5-8+ years of experience with Python, Spark, Databricks, and MLflow.