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 productionizing 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: 1
Benefits:
We have various coverages and additional benefits to choose from:
- 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.
Minimum Education Required: Bachelor
Years of Experience Required: At Least 3 Years
Expected Travel Time: None
Never miss an opportunity! Create an alert based on the job you applied for.
