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

As a Data Science Manager, you will be pivotal in driving revenue management through the strategic use of data. You will lead a team of senior analysts to transform complex data into actionable insights that inform business strategies. Your expertise will guide the team in developing innovative solutions that contribute to the company's overall success.

We are seeking a talented Data Science Manager to lead reporting and analytics within our Sales Operations team. As the key stakeholder, you will be responsible for analyzing the business impact of tools and processes owned by Sales Operations. Your role will involve identifying correlations and trends, enabling strategic decision-making, and reporting on growth opportunities for both customers and sellers.

Primary Responsibilities

Oversee the design, development, and implementation of data-driven strategies for revenue optimization. Lead data analytics projects from conception to completion, ensuring alignment with business goals.Diagnose and pinpoint areas for improvement within the Sales & Support organization as you evaluate the company’s business health and performance.Ability to solve complex business problems by conducting analysis, reporting key findings and making recommendations for solutions.  Communicate effectively with cross-functional teams to drive data-centric solutions.Present complex data insights in an understandable manner to stakeholders at various levels. .Continually seek out and implement new methodologies and technologies in data science to keep the company at the forefront of the industry.Manage a team of data scientists and analysts, providing guidance and mentorship.Foster a collaborative environment that encourages innovation and professional growth.Conduct performance reviews and support career development plans for team members.

Qualifications:

What’s needed- Basic Qualifications

Bachelor’s Degree in Data Science, Statistics, Computer Science or related field or equivalent experience7+ years experience in data science3+ years in a team management role

What’s needed- Preferred Qualifications

Strongly prefer 3 or more years working with Tableau for data visualization and Alteryx or a related data analytics platform  Expertise in data modeling, analysis, and statistical methods. Proficient in data science tools and programming languages (Python, R)Experience in managing cross-functional teams and projectsDemonstrated success in implementing data-driven solutions that have positively impacted business outcomes.Strong quantitative, problem-solving, and analytical abilitiesExperience with Salesforce dataUnderstanding of sales operations and enablementStrong leadership and team-building skills

We Offer:

Inclusive culture with associate-led Business Resource GroupsFlexible 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!

At Staples, “inclusion” is an action word. It represents what we do to ensure that all employees feel valued and supported to contribute to their fullest potential. When we operate inclusively, diversity naturally follows. This is why we work hard to foster an inclusive culture, as we seek employees with unique and varied perspectives and areas of expertise. The result is a better workplace and innovative thinking that helps us exceed our customers’ expectations -- through the power of the people behind our iconic brand.

Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, 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.