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Data Scientist
full-timeMassachusetts$68k - $85k

Summary

Location

Massachusetts

Salary

$68k - $85k

Type

full-time

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About this role

We are looking for a highly motivated Data Scientist to help unlock insights, accelerate decision-making, and support UniFirst’s growing data and AI initiatives. This role is ideal for a recent master’s graduate in Data Science or a related field who is excited to apply advanced analytics, statistical modeling, machine learning, and data engineering techniques to real business problems.
 

As a Data Scientist, you will work closely with IT, business stakeholders, and the Enterprise Architecture & Innovation team to build analytical models, evaluate data quality, explore patterns and trends, and contribute to the development of data-driven products. You will help shape how UniFirst uses data for forecasting, optimization, automation, and operational efficiency.
 

This position is hands-on and collaborative, offering exposure to a wide range of domains including supply chain, finance, customer analytics, workforce planning, and AI-powered applications.

Responsibilities:

  • Explore and analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights.
  • Build statistical, predictive, and machine learning models to support initiatives such as forecasting, optimization, classification, and clustering.
  • Work with partners across the organization to translate business questions into analytical approaches and deliver meaningful results.
  • Prepare clean, high-quality datasets for analysis using Python, SQL, and cloud-based tools.
  • Implement reproducible analytical workflows using notebooks, pipelines, and version-controlled code.
  • Evaluate model performance using appropriate metrics and iterate to improve accuracy, robustness, and interpretability.
  • Create clear visualizations, dashboards, and presentations to communicate findings to non-technical stakeholders.
  • Collaborate with Enterprise Architects, Data Engineers, and AI Engineers to integrate analytical models into operational systems or AI-enabled workflows.
  • Support experimentation, prototyping, and research into emerging data science methods and tools.
  • Ensure analytical work complies with corporate governance, data privacy standards, and responsible AI principles.


Entry-level candidates with the appropriate education will be considered.

  • Academic or project experience with statistical modeling, machine learning, or predictive analytics.
  • Proficiency in Python (pandas, NumPy, scikit-learn, etc.) and/or R for data analysis.
  • Experience working with relational databases and writing SQL queries.
  • Familiarity with data visualization tools (e.g., matplotlib, seaborn, Power BI, Tableau).
  • Understanding of model evaluation techniques and best practices.
  • Experience cleaning, transforming, and manipulating real-world datasets.
  • Strong analytical, problem-solving, and communication skills.

Preferred:

  • Experience with cloud-based data platforms (Azure, AWS, or GCP), particularly Azure ML or Azure Data Lake.
  • Exposure to MLOps, experiment tracking, or model lifecycle management.
  • Knowledge of natural language processing, clustering, optimization, or time-series analysis.
  • Familiarity working with APIs, data pipelines, or integration tools.
  • Experience presenting insights to stakeholders or contributing to cross-functional projects.
  • Prior internship experience at UniFirst or a similar company strongly preferred.

Required Education:

  • Master’s degree in Data Science, Computer Science, Statistics, Analytics, Applied Mathematics, or a related quantitative field.

Preferred Education:

  • Coursework or capstone experience directly related to machine learning, AI, or applied modeling.

The estimated annual salary for this position ranges from $68,121 to $85,000. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled.

Benefits & Perks: 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Tuition Reimbursement, 30%25 Employee Discount, Employee Referral Bonuses. UniFirst is an international leader in garment & Uniform services industry. We currently employ over 16,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team.

UniFirst is an equal employment employer. If you need accommodation for any part of the application process because of a medical condition or disability, please send an e-mail to [email protected] or call to let us know the nature of your request.

Other facts

Tech stack
Data Science,Statistical Modeling,Machine Learning,Data Engineering,Python,SQL,Data Visualization,Analytical Models,Data Quality,Predictive Analytics,Collaboration,Problem Solving,Communication,Data Privacy,AI,Cloud-Based Tools

About UniFirst

Headquartered in Wilmington, Mass., UniFirst Corporation (NYSE: UNF) is a North American leader in the supply and servicing of uniform and workwear programs, facility service products, as well as first aid and safety supplies and services. Together with its subsidiaries, the Company also manages specialized garment programs for the cleanroom and nuclear industries. In addition to partnering with leading brands, UniFirst manufactures its own branded workwear, protective clothing, and floorcare products at its five company-owned ISO-9001-certified manufacturing facilities. With more than 270 service locations, over 300,000 customer locations, and 16,000-plus employee Team Partners, the Company outfits more than 2 million workers every day. For additional information, contact UniFirst at 888.296.2740 or visit UniFirst.com.

UniFirst’s mission is “To serve the people who do the hard work. Helping them succeed and deliver for what gives their lives meaning.”

Our continuous customer focus enables us to grow, to provide an equitable return on investment, and to create development opportunities for our Team Partners.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Textile Manufacturing
Founding Year: 1936

What you'll do

  • As a Data Scientist, you will explore and analyze datasets to uncover trends and build analytical models. You will collaborate with various teams to translate business questions into analytical approaches and communicate findings effectively.

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Frequently Asked Questions

What does UniFirst pay for a Data Scientist?

UniFirst offers a competitive compensation package for the Data Scientist role. The salary range is USD 68k - 85k per year. Apply through Clera to learn more about the full compensation details.

What does a Data Scientist do at UniFirst?

As a Data Scientist at UniFirst, you will: as a Data Scientist, you will explore and analyze datasets to uncover trends and build analytical models. You will collaborate with various teams to translate business questions into analytical approaches and communicate findings effectively..

Why join UniFirst as a Data Scientist?

UniFirst is a leading Textile Manufacturing company. The Data Scientist role offers competitive compensation.

Is the Data Scientist position at UniFirst remote?

The Data Scientist position at UniFirst is based in Massachusetts, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Data Scientist position at UniFirst?

You can apply for the Data Scientist position at UniFirst directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about UniFirst on their website.