Senior Data Scientist

Job Description

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.

The Senior Data Scientist will strategically work in the data science team in applying advanced analytics, machine learning, LLMs and cutting-edge technologies to propose, perform and evaluate exploratory data analysis and predictive modeling to address critical e-commerce challenges. This individual will possess a creative and flexible approach to problem-finding and a strategic approach to maintaining the highest standards of data-driven decision-making with a faithful application of development best practices

What you'll be doing:

• Develop and deploy sophisticated machine learning and deep learning models to solve critical business challenges such as predict customer patterns, recommendation systems, demand forecasting, and predictive analytics.
• Leverage advanced techniques to extract insights, automate customer interactions, and enhance user experience across e-commerce platforms.
• Conduct thorough testing and validation of models, employing techniques such as cross-validation, A/B testing, and performance benchmarking to ensure models deliver accurate, reliable, and consistent results.
• Work closely with cross-functional teams to identify impactful business problems and operationalize models using scalable deployment frameworks.
• Stay informed of emerging trends and advancements in data science, machine learning operations, and AI ethics, continuously integrating new tools and techniques into the team's workflow
• Drive change and influence peers, leaders and collaborators.
• Leading end-to-end data science project implementations working with Agile methodologies
• Mentoring less experienced members of the data science team.

What you bring to the table:

• Strong problem-solving and critical thinking/analytical skills.
• Ability to identify and seek needed information/research skills.
• Excellent communication and mentoring/leadership abilities.
• A collaborative spirit and the ability to work effectively in a team environment.

What's needed- Basic/Required Qualifications:

• BA/BS degree in Data Science, Statistics, Computer Science, or related field or equivalent work experience.
• 7+ years of experience with complex data science or related field (i.e. applied statistics, machine learning, mathematical modeling).
• Strong understanding of data and coding skills with SQL and Python.
• Deep proficiency in data analysis, statistical modeling, and machine learning (ML).

What's needed- Preferred Qualifications:

• Masters/PhD in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field.
• Advanced experience with deep learning frameworks, LLMs, Gen AI tools, and applying Natual Language Processing (NLP) techniques.
• Expertise using tools like TensorFlow, PyTorch, LightGBM, XGBoost as well as language models such as GPT-4, BERT.
• Proven track record of leading large-scale data science projects.

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 perks and benefits

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About Us

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.