Data Scientist
ABC Legal Services
Dallas, TX, US
Onsite
2026-07-01
Announced salary
$110,000 - $130,000
Low
$83K
Median
$110K
High
$145K
Market in Dallas · BLS OEWS 2025
Estimated net pay
$7,185 - $8,343
/month · 22% withheld
after tax & contributions · Single, no dependents
Job description
**About ABC Legal Services**
ABC Legal Services is the nation's premier process serving and court filing company, operating across all 50 states. We are a technology\-forward legal services company on a mission to make legal processes faster, smarter, and more reliable. Our data and engineering teams are central to that mission — building models and systems that power operations at scale. We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level.
**Role Overview**
We're seeking a Data Scientist with hands\-on experience in machine learning engineering and MLOps. In this role, you'll own the full model lifecycle — from research and experimentation through deployment, monitoring, and iteration. You'll work within our AWS SageMaker Studio environment and collaborate closely with engineering, operations, and product teams to deliver models that drive measurable business outcomes.
**Key Responsibilities**
* Develop, train, and evaluate machine learning models to solve business problems across operations, legal services, and marketing
* Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring
* Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows
* Partner with product and operations teams to translate business requirements into data science solutions
* Monitor deployed models in production, identify performance degradation, and drive continuous improvement
* Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing
* Stay current with advances in ML and data science tooling, and advocate for best practices across the team
**Requirements**
**Required**
* 3\+ years of experience in data science or a closely related role, with demonstrated ML engineering and