Job Description:

THE OPPORTUNITY

We are looking for a visionary leader for Data Science at Scholastic. The Director of Data Science has overall responsibility for leading data science, machine learning, artificial intelligence and predictive modeling projects within Scholastic. The Data Science team is tasked with critical projects designed to mitigate risks and/or promote growth for Scholastic. We are looking for an experienced leader with significant Data Science expertise who is motivated to make a significant impact in Scholastic. This role reports to the Vice President of Data and Analytics.

The ideal candidate will have a proven track record in utilizing data science to drive revenue growth for an organization. 

RESPONSIBILITIES

LEADERSHIP AND STRATEGIC DIRECTION

• Own the data science solutions strategy and uncover opportunities to apply data science to Scholastic’s businesses.

STAKEHOLDER ENGAGEMENT AND COLLABORATION

• Engage key stakeholders to understand their business and data needs and translate them into technical specifications to deliver data science, machine learning, and AI solutions that have meaningful business impact. 

PROJECT MANAGEMENT AND DELIVERY

• Ensure that the development and deployment of data science models adheres to industry best practices. Design and champion data science and data products methodologies for the entire team. Ensure consistent, on-time delivery of team projects.

TEAM DEVELOPMENT AND MANAGEMENT

• Attract, hire, coach, mentor, retain and develop a top team of data scientists. Promote collaboration, continuous learning, and excellence.

DATA SCIENCE EXPERTISE AND INNOVATION

• Serve as Scholastic’s leading expert in data science, machine learning and artificial intelligence to guide strategy and projects. 

EXECUTIVE LEVEL COMMUNICATION

• Effectively communicate complex technical concepts and insights to executive level audiences

ORGANIZATIONAL IMPACT

• Use data science to reduce costs, drive growth, and identify and mitigate risk for Scholastic

WHO WE ARE

Scholastic Corporation (NASDAQ: SCHL) is the world's largest publisher and distributor of children's books, a leading provider of core literacy curriculum and professional services, and a producer of educational and entertaining children's media. The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home. With operations in 14 international offices and exports to 165 countries, Scholastic makes quality, affordable books available to all children around the world through school-based book clubs and book fairs, classroom collections, school and public libraries, retail and online.  True to its mission of 100+ years to encourage the personal and intellectual growth of all children beginning with literacy, the Company has earned a reputation as a trusted partner to educators and families. Learn more at www.scholastic.com.

Some benefits that we offer:

• Full suite of health and wellness benefits (including a $0 deductible Medical Plan)

• Retirement Savings Plan 401(k) with options for both Roth and Traditional Contributions

• Tuition-Free programs for undergraduate and graduate degrees

• Generous Parental Leave Program

• Employee Stock Purchase Plan (ESPP) with opportunity for discounted stock at a 15% discount

Thank you for your consideration in choosing Scholastic.

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Qualifications

HOW YOU CAN FIT (Qualifications)

Knowledge, Skills, and Abilities:

• Experience using Statistical and Machine Learning algorithms on business data and solving problems in a commercial environment. Strong understanding of data analysis and modeling, solid background in statistics, computer science and related fields.

• Proven experience leading data science teams and data products teams.

• Expertise in Python, relevant machine learning packages such as scikit-learn.

• Expertise in SQL.

• Experience with AWS SageMaker, Redshift, S3.

• Excellent communication skills

• Excellent team and project management skills

Experience: 8-10 years of experience in Data Science

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