Data Scientist, Demand Forecasting - Full-time

Title

Data Scientist, Demand Forecasting

Category

Merchandising & Product Development

Employment Type

Full-Time

Location

NY-New York (Union Square)

Location Type

corporate

Job Location

New York, New York 10003

Job Summary

Barnes & Noble is the leading book retailer in the United States, with roots dating back to 1873 and a long history of growth through innovation and expansion. Today, under CEO James Daunt and private ownership by Elliott Advisors, Barnes & Noble operates approximately 700 bookstores nationwide, serves over 700 communities across all 50 states, and maintains a robust digital presence through BN.com, NOOK® eBooks and audiobooks, and educational resources such as SparkNotes. The company also includes complementary retail brands such as Paper Source, Books Inc., Tattered Cover, and B. Dalton, further strengthening its market reach. Following a period of revitalization, Barnes & Noble is experiencing strong momentum, with plans to open approximately 60 new stores in 2026, underscoring renewed confidence in physical retail and local bookselling. Combining expansive store networks, curated selections, enhanced in-store experiences, and growing omnichannel capabilities, Barnes & Noble remains the #1 bookseller in the U.S. and a trusted, evolving partner within the publishing and retail ecosystem.

We're seeking a highly skilled Data Scientist to join our team, with a focus on demand forecasting and supply planning. In this role, you will train and implement demand forecasting algorithms using modern machine learning techniques, driving measurable improvements in forecast accuracy. These demand forecasts will be used to support buying and replenishment decisions for all products in our stores and distribution centers. This is a critical role in driving business success. By developing and deploying advanced analytics solutions to inform inventory purchasing decisions, you will help ensure high stock availability while reducing our inventory investment.

This is a hybrid position requiring 2-3 days in our NY office.

An employee in this position can expect an annual starting rate between $100,000 - $120,000 depending on experience, seniority, geographic locations, and other factors permitted by law.

What You Do

The Data Scientist, Demand Forecasting role supports our buying teams with the key tools and information needed to run the business. You are instrumental in advancing our Demand Planning, analytical capability, data quality, and forecasting tools used by multiple internal B&N partners. This role will have a direct impact on our ability to improve forecast accuracy and drive business growth with optimized inventory levels. Day to day you will:

• Develop and deploy demand forecasting models using machine learning and statistical techniques
• Collaborate with IT to implement models in production, ensuring seamless integration with existing systems
• Guide data engineering efforts to improve analytical capabilities, including data governance, quality, architecture, and tooling
• Analyze large datasets to inform business decisions, identifying trends, opportunities, and challenges
• Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and recommendations
• Stay up to date on changes in the field of forecasting, including the use of AI, to improve and scale forecasting capabilities

Knowledge & Experience

Success in this role requires high attention to detail, excellent analytical abilities, and strong business acumen. We’re seeking someone with:

• A degree in Computer Science, Statistics, Mathematics, or related field
• 3-5 years of experience in data science, with a focus on time-series analysis, regression analysis and machine learning
• Strong technical skills in programming languages such as Python, R, and SQL
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Excellent leadership and collaboration skills, with experience working with cross-functional teams
• Strong communication and presentation skills, with ability to distill complex concepts into actionable insights
• Experience with cloud-based technologies and data engineering tools such as Databricks and Azure
• Familiarity with agile development methodologies and DevOps practices
• Knowledge of retail operations, merchandising and supply chain processes
• Must be able to work in our NY office 2 - 3 days/week

EEO Statement

Barnes & Noble is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, military or veteran status, religion, creed, disability, sex, sexual orientation, marital status, medical condition as defined by applicable law, genetic information, gender, gender identity, gender expression, hairstyle, pregnancy, childbirth and related medical conditions, reproductive health decisions, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

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Title

Data Scientist, Demand Forecasting

Category

Merchandising & Product Development

Employment Type

Full-Time

Location

NY-New York (Union Square)

Location Type

corporate

Job Location

New York, New York 10003

Job Summary

Barnes & Noble is the leading book retailer in the United States, with roots dating back to 1873 and a long history of growth through innovation and expansion. Today, under CEO James Daunt and private ownership by Elliott Advisors, Barnes & Noble operates approximately 700 bookstores nationwide, serves over 700 communities across all 50 states, and maintains a robust digital presence through BN.com, NOOK® eBooks and audiobooks, and educational resources such as SparkNotes. The company also includes complementary retail brands such as Paper Source, Books Inc., Tattered Cover, and B. Dalton, further strengthening its market reach. Following a period of revitalization, Barnes & Noble is experiencing strong momentum, with plans to open approximately 60 new stores in 2026, underscoring renewed confidence in physical retail and local bookselling. Combining expansive store networks, curated selections, enhanced in-store experiences, and growing omnichannel capabilities, Barnes & Noble remains the #1 bookseller in the U.S. and a trusted, evolving partner within the publishing and retail ecosystem.

We're seeking a highly skilled Data Scientist to join our team, with a focus on demand forecasting and supply planning. In this role, you will train and implement demand forecasting algorithms using modern machine learning techniques, driving measurable improvements in forecast accuracy. These demand forecasts will be used to support buying and replenishment decisions for all products in our stores and distribution centers. This is a critical role in driving business success. By developing and deploying advanced analytics solutions to inform inventory purchasing decisions, you will help ensure high stock availability while reducing our inventory investment.

This is a hybrid position requiring 2-3 days in our NY office.

An employee in this position can expect an annual starting rate between $100,000 - $120,000 depending on experience, seniority, geographic locations, and other factors permitted by law.

What You Do

The Data Scientist, Demand Forecasting role supports our buying teams with the key tools and information needed to run the business. You are instrumental in advancing our Demand Planning, analytical capability, data quality, and forecasting tools used by multiple internal B&N partners. This role will have a direct impact on our ability to improve forecast accuracy and drive business growth with optimized inventory levels. Day to day you will:

• Develop and deploy demand forecasting models using machine learning and statistical techniques
• Collaborate with IT to implement models in production, ensuring seamless integration with existing systems
• Guide data engineering efforts to improve analytical capabilities, including data governance, quality, architecture, and tooling
• Analyze large datasets to inform business decisions, identifying trends, opportunities, and challenges
• Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and recommendations
• Stay up to date on changes in the field of forecasting, including the use of AI, to improve and scale forecasting capabilities

Knowledge & Experience

Success in this role requires high attention to detail, excellent analytical abilities, and strong business acumen. We’re seeking someone with:

• A degree in Computer Science, Statistics, Mathematics, or related field
• 3-5 years of experience in data science, with a focus on time-series analysis, regression analysis and machine learning
• Strong technical skills in programming languages such as Python, R, and SQL
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Excellent leadership and collaboration skills, with experience working with cross-functional teams
• Strong communication and presentation skills, with ability to distill complex concepts into actionable insights
• Experience with cloud-based technologies and data engineering tools such as Databricks and Azure
• Familiarity with agile development methodologies and DevOps practices
• Knowledge of retail operations, merchandising and supply chain processes
• Must be able to work in our NY office 2 - 3 days/week

EEO Statement

Barnes & Noble is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, military or veteran status, religion, creed, disability, sex, sexual orientation, marital status, medical condition as defined by applicable law, genetic information, gender, gender identity, gender expression, hairstyle, pregnancy, childbirth and related medical conditions, reproductive health decisions, or any other characteristic protected by applicable federal, state, or local laws and ordinances.