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Data Scientist

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Mastech Digital
Full Time position
Listed on 2026-02-19
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 65 - 70 USD Hourly USD 65.00 70.00 HOUR
Job Description & How to Apply Below

Job Description

Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Scientist for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately.

Duration: 12+ Months Contract

Location: Irving, TX

Salary: $65.00-$70.00/Hourly

Role: Data Scientist

Primary

Skills:

SQL

Role

Description:

The Data Scientist must have 2+ years of experience. For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation.

In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions.

This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment.

Responsibilities
  • Research, prototype, and develop AI/ML solutions for customer segmentation and personalization.
  • Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact.
  • Build, deploy, monitor, and analyze machine learning models in production environments.
  • Apply statistical experimentation techniques when launching and iterating on AI-driven products.
  • Partner closely with data, product, marketing, and engineering teams to align solutions with business goals.
  • Translate complex analytical findings into clear, actionable insights for non-technical stakeholders.
  • Stay current with emerging tools, frameworks, and best practices in data science and experimentation.
  • Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence.
  • Demonstrate measurable impact through data science applied to marketing and personalization use cases.
Basic Qualifications
  • 2+ years of experience in statistical data science, feature engineering, and customer segmentation.
  • 2+ years of hands‑on experience with Python, SQL, and PySpark.
  • 2+ years of experience training, evaluating, and deploying machine learning models.
  • 2+ years of experience product ionizing ML workloads in AWS or Azure.
  • Familiarity with containerized deployments using Docker and/or Kubernetes.
  • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Preferred Qualifications
  • Experience working with the Databricks platform.
  • Experience building ML models using large‑scale structured and unstructured data.
  • Exposure to company ecosystems, such as:
    Customer Data Platforms (CDPs);
    Data Management Platforms (DMPs);
    Email Service Providers (ESPs)
  • Experience integrating data science solutions into marketing and personalization workflows.

Education: Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience.

Experience: Minimum 2+ years of experience

Relocation: This position will not cover relocation expenses

Travel: No

Local Preferred: Yes

Note: Must be able to work on a W2 basis (No C2C)

Recruiter Name: Aman Agarwal

Recruiter Phone:

Benefits
  • Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll).
  • Paid Leaves (Wherever applicable).
  • Life & Disability Coverage (Upon eligibility).
  • 401K Option, Education Assistance Program and more.

Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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