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Direct Mail Data Processing Jobs in Texas (NOW HIRING)

Data Scientist

Dallas, TX · On-site +1

$110K - $130K/yr

About ABC Legal Services ABC Legal Services is the nation's premier process serving and court ... Background in targeted mail marketing, direct mail modeling, or customer segmentation * Familiarity ...

Acquire all necessary approvals for direct mail print production priorities throughout the creative routing process, including final approval of all artwork, formats, mock-ups, and proofs * Work with ...

Acquire all necessary approvals for direct mail print production priorities throughout the creative routing process, including final approval of all artwork, formats, mock-ups, and proofs * Work with ...

Strong working knowledge of Shopify, Square, and ecommerce customer data ecosystems * Proven ability to build and optimize highly targeted email, SMS, and direct mail programs that drive measurable ...

Strong working knowledge of Shopify, Square, and ecommerce customer data ecosystems * Proven ability to build and optimize highly targeted email, SMS, and direct mail programs that drive measurable ...

Mail Sorter

Grand Prairie, TX · On-site

$17.50 - $18.50/hr

Sort and process flat mail pieces using automated equipment and manual sorting methods * Prepare ... Frequency varies and message/data rates may apply. Reply STOP to cancel or HELP for help.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... processing data from various sources such as APIs, S3, Google Cloud Storage and flat files. • ... Direct Energy Business is part of a leading energy and energy-related services provider that is ...

Assembly Role at Our Direct Mail Marketing Warehouse Our warehouse facility in [City, State] About ... packaging process - Maintain a clean and organized work area to ensure efficiency and safety ...

Top Job Located in Denton, TX Salary: $18/hr Data Processor Schedule: Mon-Fri 8am-5pm Pay: $18/hr ... Weekly Pay * Direct Deposit * Holiday Pay (6 Days Observed) * Medical Plan * Referral Bonuses ...

Job Summary These diligent workers assist in the preparation, processing and qualification of Ballot by Mail applications. They assist with data entry of information of qualified applicants and ...

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Direct Mail Data Processing information

What are typical daily responsibilities for someone working in Direct Mail Data Processing?

In a Direct Mail Data Processing role, your typical day involves importing and cleaning large datasets, applying address standardization and deduplication processes, and preparing files for print or mailing according to postal regulations. You may also collaborate with marketing teams to ensure targeted audience segmentation and validate that mailing lists are accurate and up to date. Additionally, you’ll often troubleshoot data issues, generate required reports, and work with production teams to coordinate mail runs. This position requires strong focus and efficiency, as your work directly impacts campaign accuracy, delivery timelines, and cost-effectiveness.

What is a Direct Mail Data Processing job?

A Direct Mail Data Processing job involves managing, organizing, and preparing data for direct mail campaigns. This includes tasks such as cleaning and formatting mailing lists, ensuring data accuracy, deduplicating records, and applying postal regulations to optimize mailing costs. Professionals in this role work with data processing software to generate mailing lists, address standardization, and postal sorting to ensure efficient and cost-effective mail delivery. The role requires attention to detail, data management skills, and knowledge of postal regulations.

What are the key skills and qualifications needed to thrive in the Direct Mail Data Processing position, and why are they important?

To thrive as a Direct Mail Data Processing professional, you should possess strong analytical skills, attention to detail, and proficiency in data management, often supported by experience with mailing software and database systems. Familiarity with tools like PostalSoft, BCC Mail Manager, or similar postal and data sorting software, as well as a basic understanding of USPS regulations, is highly valuable. Excellent organizational skills, adaptability, and the ability to communicate clearly with team members and clients help set top performers apart. These skills and qualities are crucial to ensure accurate data handling, efficient mail processing, and the successful execution of large-scale direct mail campaigns.

What are the most commonly searched types of Direct Mail Data Processing jobs in Texas? The most popular types of Direct Mail Data Processing jobs in Texas are:
What are popular job titles related to Direct Mail Data Processing jobs in Texas? For Direct Mail Data Processing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Direct Mail Data Processing jobs in Texas look for? The top searched job categories for Direct Mail Data Processing jobs in Texas are:
What cities in Texas are hiring for Direct Mail Data Processing jobs? Cities in Texas with the most Direct Mail Data Processing job openings:
Infographic showing various Direct Mail Data Processing job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Scientist

Data Scientist

ABC Legal Services

Dallas, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


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 MLOps responsibilities
  • Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow)
  • Hands-on experience with AWS SageMaker Studio for model development, training, and deployment
  • Solid understanding of MLOps principles: model versioning, pipeline automation, drift detection, and production monitoring
  • Experience with SQL and working with structured data in cloud data warehouses or relational databases
  • Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders
  • Strong self-direction and communication skills suited for a remote work environment

Nice to Have

  • Experience in the legal, collections, or financial services industry
  • Background in targeted mail marketing, direct mail modeling, or customer segmentation
  • Familiarity with AI coding agents and agentic development workflows (e.g., Claude, Copilot, Cursor, or similar tools)
  • Experience with propensity modeling, uplift modeling, or response prediction
  • Exposure to LLM-based workflows or applied NLP in a production setting
  • Data engineering experience with modern tooling such as Dagster, Airbyte, and dbt
  • Familiarity with AWS data services including Glue, Lambda, Redshift, and Step Functions

Compensation & Benefits

  • Fully remote position with flexible working hours
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunity to shape data science strategy at a growing, industry-leading company

Salary Range: $110,000-$130,000 depending on experience