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Data Scientist III, Quill

Lincolnshire, Illinois, États-Unis

Postuler

When we’re curious and collaborative, there’s no limit to what we can create.

Be the reason — the expertise you bring to the table, your passion for experimenting, and your ability to see the possibilities in each challenge. Join us and reimagine the customer experience. We’ll surround you with a team that inspires and the tools to innovate. It’s everything you need to move us forward, along with your career.

Total Rewards

  • Compensation & Incentives
    Competitive base salary + bonus on eligible positions
  • Paid Time Off
    22 days plus 7 major holidays and 1 floating holiday
  • 401(k) Matching
    Company match 401(k) plan
  • Discounts
    Online and retail discounts
  • Wellness
    Physical and mental health wellness programs
  • On-site Amenities
    Daycare, cafeteria, fitness center, and coffee shop at our HQ

Data Scientist III, Quill

Lincolnshire, Illinois, États-Unis

Faire une demande
Remote/On-site On-site Numéro de l’emploi 69510 Type d’emploi Technology, E-Commerce & Data Science Date d’affichage 05/20/2026 Pay Range $96,000-$133,000

Data Scientist III - Quill.com 

Work Model: On-site, Lincolnshire, IL

Staples is business to business. You’re what binds us together.

About Quill

Quill is a valuable part of the Staples family of brands. Since 1956, Quill has held its position as a leader in office supplies. Acquired by Staples in 1998, Quill delivers the essential services, solutions, and award-winning customer support to help our customers – and our people – thrive. When you partner with Quill, as a customer or as an associate, every workday is more rewarding. From paper, ink & toner, to technology and custom print, we deliver the right products at the right value, plus an unmatched assortment of over 900 instant rewards available with every order.

What you’ll be doing:

As a Data Scientist III, you will impact business results by utilizing big data and deploying analytical solutions across the business, including ML/AI algorithms, customer modeling, and pricing models. You will present timely, insightful, and actionable presentations to influence marketing strategy, key business initiatives, and ongoing product, promotional, or pricing strategies. Your responsibilities include data mining, modeling, and analyzing data through a variety of statistical techniques to derive business insights and providing recommendations to Senior Management to influence critical business decisions.

  • Develop and deploy analytical solutions across functions such as customer acquisition, retention, product development, and ROAS.
  • Build and test audience targeting strategies and models, including relevancy, re-targeting, and look-a-like models.
  • Identify relevant data sources and pipelines; collect large structured and unstructured datasets for reporting and measurement.
  • Devise algorithms and models to mine big data stores, perform data and error analysis, and validate data for accuracy.
  • Research and analyze data to uncover deep relationships for use in ML/AI algorithms.
  • Design and implement ML/AI algorithms, collaborating with engineers to apply them in production.
  • Analyze data and translate results into tailored reports and findings for vendors and business partners.
  • Work across multi-disciplinary teams to translate business needs into testable hypotheses and design experiments.
  • Collaborate with business partners to develop customized KPIs and visualizations.
  • Stay current with technical and industry developments.

What you bring to the table:

The ideal candidate is an excellent collaborator, communicator, and project manager with extensive hands-on data experience. You are a flexible and independent problem solver in a fast-moving, highly diverse environment, able to handle multiple projects simultaneously.

Basic Qualifications:

  • Bachelor’s degree (BA/BS) in Statistics, Applied Math, Computer Science, or equivalent work experience
  • Minimum of 5 years of experience as a Data Scientist with large and complex data sets, relational databases, and data tools.
  • Significant relevant experience building and deploying advanced analytics solutions in B2C or B2B e-Commerce or Retail environments.
  • Proficiency in data wrangling and modeling (SQL, R, Python, Pyspark), regression and classification modeling techniques (XGBoost, LightGBM), and data visualization (Tableau, Power BI).
  • Experience with cloud infrastructure (Azure, Databricks) and pipelining tools (Airflow) preferred.
  • Experience building in-production models, including scripting, error handling, and documentation.

Preferred Qualifications:

  • Master’s degree in Statistics, Applied Math, Computer Science, or a related field.

We Offer:

  • Inclusive culture with associate-led Business Resource Groups
  • Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
  • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!https://careers.staples.com/Staples-Life/Benefits

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity.  In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.

Chez Staples, « inclusion » est un mot d'action. Il représente ce que nous faisons pour garantir que tous les employés se sentent valorisés et soutenus afin de contribuer à leur plein potentiel. Lorsque nous opérons de manière inclusive, la diversité suit naturellement. C'est pourquoi nous travaillons dur pour favoriser une culture inclusive, car nous recherchons des employés ayant des perspectives uniques et variées et des domaines d'expertise divers. Le résultat est un meilleur environnement de travail et une réflexion innovante qui nous aide à dépasser les attentes de nos clients – grâce à la force des personnes derrière notre marque emblématique.

Staples est un employeur garantissant l'égalité des chances. Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, couleur, religion, âge, sexe, orientation sexuelle, identité de genre, origine nationale, statut de vétéran protégé, handicap ou toute autre base protégée par la loi fédérale, étatique ou locale.

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Success Profile

What makes a great engineer at Staples? Take a look and see how you match up.

  • Collaborative
  • Communicator
  • Curious
  • Positive
  • Problem Solver
  • Technologically savvy

Our Culture

People are at the heart of what we do, and we take care of our people. We’re the kind of company that invests in you because you invest in us. At Staples, we thrive on challenges, we believe in the power of what can be, and we support change with purpose. So, bring your win-together attitude and we’ll surround you with like-minded experts who are looking to make an impact for our customers, our community, and our teams.

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Meet Dinesh, Software Engineer

Hear from our people and learn more about their experiences.

"Staples is a collaborative workplace. I work with a team of talented individuals who are passionate about technology and are always willing to lend a helping hand."

Software Engineer

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