Data Scientist

Location: Framingham MA

Onsite Flexibility: Remote

• 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 23 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.

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 youll 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. Youll work closely with cross-functional partners across product engineering and merchandising providing both strategic insights and ad-hoc data support to fuel smarter decisions.

• 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

• 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

• 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

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

• 510 years of professional experience in a data analytics or related role

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

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

This Fortune 100 off-price retailer is one of the worlds leading apparel and home fashions companies operating more than 5200 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.

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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