Massachusetts Veterans Jobs

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

Our expanding data science team is at the forefront of developing innovative capabilities within a thriving and extensive e-commerce business. As we continue to push the boundaries of data-driven insights, we are seeking a seasoned Senior Data Scientist to join our dynamic team. In this key role, you will play a pivotal part in shaping the future of our analytics initiatives, leveraging your expertise in advanced statistical methods, machine learning, and artificial intelligence. If you are passionate about driving impactful business solutions through data science and thrive in a collaborative environment, we invite you to be a vital contributor to our exciting journey of transforming data into strategic advantages.

What you’ll be doing:

• Mines and analyzes complex and unstructured data sets using advanced statistical, machine learning and artificial intelligence methods for use in data driven decision making.

• Performs research, analysis, and modeling on organizational data.

• Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.

• May act as a lead.

• Contribute directly to the development of sophisticated models and the most advanced data science deliverables.

• Be a thought partner to business leaders regarding the development and application of data science to our business.

• Work closely with business stakeholders to discover and prioritize the highest-value projects for the Data Science Team.

What you bring to the table:

• A quick mind with an outstanding analytical skillset, strategic sense, and business acumen.

• Enthusiasm for finding innovative and effective solutions to business challenges.

• A teaching mindset: Eager to share knowledge and impart wisdom to team members and business stakeholders.

• A learning mindset: Ready to learn about the business, discover new tools and techniques, and expand your skills and knowledge alongside your team.

• Broad knowledge of data infrastructure and data science development platforms, with real world experience to help guide decisions about these tools.

• Excellent communication skills. Capable of communicating nuanced business needs to technical experts, and technically challenging topics to business stakeholders.

• Well-developed project management skills. Track record of leading complex projects to successful completion, and the ability to teach this skill to team members.

What’s needed- Basic Qualifications

• Bachelor’s Degree or equivalent work experience

• Expertise in Python and familiarity with additional data science languages like R or Scala is a plus.

• 5+ years of experience with deep expertise in the tools and practice of data science, including statistical modelling, machine learning and artificial intelligence, with a proven track record of delivering impactful business solutions.

• Experience with big data technologies and frameworks (e.g., Spark, Hadoop).

• Demonstrated ability to lead and mentor junior team members.

• Proven adeptness in working within a collaborative, cross-functional team environment.

What’s needed- Preferred Qualifications:

• A master’s degree in a quantitative field or equivalent experience in an applied setting.

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 moreperks and benefits (https://careers.staples.com/Staples-Life/Benefits)

Staples is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

For individuals with disabilities that need additional assistance at any point in the process, please call 1-888-490-4747 for more information.