Data Scientist III, Quill
Lincolnshire, Illinois, United States
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
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- Compensation & Incentives
- Competitive base salary + bonus on eligible positions
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- Paid Time Off
- 22 days plus 7 major holidays and 1 floating holiday
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- 401(k) Matching
- Company match 401(k) plan
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- Discounts
- Online and retail discounts
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- Wellness
- Physical and mental health wellness programs
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- On-site Amenities
- Daycare, cafeteria, fitness center, and coffee shop at our HQ
Data Scientist III, Quill
Lincolnshire, Illinois, United States
ApplyData 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.
Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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.
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."
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