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 experience
• 7+ years experience in data science
• 3+ 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 projects
• Demonstrated success in implementing data-driven solutions that have positively impacted business outcomes.
• Strong quantitative, problem-solving, and analytical abilities
• Experience with Salesforce data
• Understanding of sales operations and enablement
• Strong leadership and team-building skills

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!

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.