Data Scientist

Data Architect - Mid-Level

Location: Framingham, MA

Onsite Flexibility: Remote

Contract Details

• Position Type: Contract
• Contract Duration: 14 months
• Contract-to-Hire: Contract-to-perm potential
• Pay Rate: $60.00–$80.00 / Hour (USD)
• Interview Process: Expected to be 2–3 rounds; last round could be with one person; there could be a technical assessment
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

The Merchandise Operations Management Delivery team is responsible for modernization of Global Merchandise Financial systems, as well as our Pricing and Clearance Management systems. We achieve these goals by implementing off-the-shelf solutions (Oracle Retail), which drive the ability to support key finance processes and markdown strategies. Our business customers rely on the accuracy and integrity of the solutions we provide to manage our merchandise, pay our vendors accurately and in a timely fashion and ultimately report accurate data to Wall Street.

As a Data Scientist, you'll be part of a dynamic and collaborative environment that touches every aspect of the business from product placement and inventory optimization to systems engineering analytics and modeling. You'll work closely with cross-functional partners across product, engineering, and merchandising, providing both strategic insights and ad-hoc data support to fuel smarter decisions.

Key Responsibilities

• Design, develop, and deploy machine learning models and statistical algorithms to solve complex business and IT problems
• Analyze large, structured and unstructured datasets to extract meaningful insights and drive data-informed decisions
• Build, maintain, and run automated and ad-hoc reports to support business operations and strategic initiatives
• Collaborate with cross-functional teams to identify opportunities for leveraging data and fulfill ad-hoc data requests to support timely and informed decision-making
• Build and maintain data pipelines and workflows to support scalable analytics, reporting, and model deployment
• Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders
• Conduct Time-Series, Sequential testing and other experimental designs to evaluate the impact of business and IT initiatives
• Provide guidance on technical approaches and best practices

Required Skills

• Proficiency in Python, SQL, Unix Shell Scripting (Linux Shell Scripting), Stored Procedures
• Experience with one or more machine learning frameworks and data analysis/visualization libraries in Python (e.g., Pandas, scikit-learn, PyTorch, Matplotlib, Plotly, etc.)
• ETL tool experience (Talend, DataStage, or MoveIT Automation preferred)
• EDW/DB experience (Snowflake or Oracle databases preferred)
• Experience with CI/CD pipelines
• Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively
• Highly developed verbal and written communication skills, with the ability to work up and down within the organization to influence others and achieve results

Preferred Skills

• CI/CD platforms (Jenkins, GitHub, Control-M)
• Familiarity with data visualization tools such as Tableau and Power BI
• Experience designing and evaluating experiments, including A/B testing and other statistical test methodologies
• Experience with time series modeling techniques and/or product recommendation systems
• Familiarity with data ingestion, transformation, and integration
• Proven application of advanced techniques in a business setting with impactful results

Education Requirements

• A degree in a quantitative field such as Data Science, Computer Science, Engineering, or Mathematics (preferred)

Required Experience

• 5–10 years of professional experience in a data analytics or related role

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

Important Notes

• If applicable, include candidate project portfolio (e.g., GitHub) with submission

About the Client

This Fortune 100 off-price retailer is one of the world's leading apparel and home fashions companies, operating more than 5,200 stores across ten countries under iconic brands including TJ Maxx, Marshalls, HomeGoods, Homesense, and Sierra in the United States; Winners, HomeSense, and Marshalls in Canada; and TK Maxx and Homesense across Europe and Australia. With a business model built on delivering quality, brand-name, and designer merchandise at prices typically 20 to 60 percent below full-price retail, the organization has created one of the most distinctive and enduring value propositions in global retail. The company employs buyers, merchants, retail professionals, technologists, data scientists, supply chain specialists, and corporate finance experts who thrive in a fast-paced, entrepreneurial environment with meaningful career pathways across merchandising, operations, marketing, and technology.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-15509 Industry: Software Engineering

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