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Data Science Co-op

Role overview

Qualifications

  • Students eligible for an intermediate or advanced co-op
  • Data Science majors preferred
  • Experience with SQL, preferably with SQL Server
  • Strong quantitative and analytical skills

Responsibilities

  • Performing data manipulation and cleaning, building regression models, and delivering insights to senior leadership
  • Creating dashboards and building reporting to support business partners
  • Collaborating with business partners on ad hoc analyses
  • Supporting projects related to sales forecasting and personalization recommendations

Key facts

Hard skills

Other skills

  • Microsoft Excel
  • Problem Solving
  • Communication
  • Analytical Skills
  • Physical Flexibility

About the company

TJX Companies logo

TJX Companies

Retail – Supermarkets & Hypermarkets

TJX is the leading off-price apparel and home fashions retailer in the U.S. and worldwide, with four global home offices, seven brands, nearly 4,700 stores in nine countries, and five distinctive branded e-commerce sites. As Associates, we make a difference with our contributions—collaborating in delighting shoppers with hidden treasures.

Company details

Company typeXLarge
IndustryRetail – Supermarkets & Hypermarkets
Company size10001

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Job description

TJX Companies

At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family—a Fortune 100 company and the world’s leading off-price retailer. 

Job Description:

Overview: TJX Digital is looking for an intelligent and motivated Co-op to join our growing Data Science team. We are offering an opportunity to learn, grow, and contribute in a fast-paced, dynamic environment. During this co-op you'll learn about retail from the inside out, gain industry experience, and learn how Data Science is used within a corporate retail setting by supporting on strategic projects and analysis to drive real time business decisions. Ready to make an impact on the Data Science team and learn how data enables our retail business and our bottom line? Responsibilities: Projects and responsibilities could include: • Performing data manipulation and cleaning, building regression models, and delivering insights to senior leadership with the broader goals of driving profitable sales and supporting long-term strategies. • Past co-ops have worked on projects related to sales forecasting, personalization recommendations, store profitability, A/B testing and more. • Creating dashboards and building reporting to support our business partners in Finance, Marketing, Digital Experience, Store Operations, and IT with real time data driven insights. • Collaborating with our business partners on ad hoc analyses, ensuring their questions receive accurate and informed responses. Who we are looking for: We are looking for current students who are highly motivated self-starters, with the ability to prioritize effectively, be proactive and flexible, and demonstrate a strong bias for action in a fast-paced professional environment. Additional skills include: • Problem solvers who can think creatively. • Excellent communicators able to deliver results concisely and effectively. • Strong quantitative and analytical skills. • Ability to adjust direction under constantly changing business conditions and needs. • Experience with SQL, preferably with SQL Server. • Experience with Python or another programming language. • Experience with well-known quantitative techniques such as regression, significance testing, multivariate analysis. • Experience with Microsoft Excel (i.e. pivot tables, charts, v-look up, etc.) and Microsoft Office. Key Qualifications: • Students eligible for an intermediate or advanced co-op • Data Science majors preferred (consideration may also be given to Computer Science, Mathematics, or other related major)

In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Address:

550 Cochituate Road

Location:

USA Home Office Framingham MA 550 Cochituate Rd

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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