Chief Data Scientist

Mondelēz International • East Hanover, NJ

10d

About The Position

Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Possible. Role Description The Data Science Service Lead will play a crucial role in enabling business growth by utilizing to solve complex business problems. Works closely with MDS Product Streams and other D&A Platform services to understand the business needs and, develop algorithms, automated data tools, and provide data-driven recommendations that will drive growth and success. This role will also be responsible for leading the enterprise transformation AI/Data Science initiatives. Purpose & Accountabilities The Leader of the D&A Data Science Services will play a crucial role in driving business growth by providing AI/Data Science based services and products in the service of the MDLZ enterprise strategies. In this role, he/she will work closely with cross-functional leadership teams to understand and influence the business strategies and the Digital/IT strategies from an AI/Data Science expert point of view. The role is also accountable for Data Science Services organization that houses data scientists and machine learning engineers. The role is also expected to be at the forefront of bringing industry leading and best practices into MDLZ in the form of data science initiatives and ensuring that the solutions delivered are aligned with the business goals and objectives, providing a tangible impact on the bottom line.

Requirements

• Advance degree in Data Science, Computer Science, Engineering, Computational Statistics, Mathematics.
• At least 15 years of professional experience, with at least 10 years in a Data Science field as team leader, with proven experience designing, developing, and implementing analytical systems, including the creation of Minimum Viable Products (MVPs).
• Has at least 5 years’ experience in managing an enterprise Data Science program, ML/LLMOs, apability building program and strategic roadmaps.
• Strong program management, leadership skills and experience working with global cross-functional teams.
• Ability to collaborate with internal Data & Analytics teams to develop enterprise protocols
• Curates the Data Science technology stack in partnership with internal technology platform and enterprise architecture teams
• Understanding of various Data Science/AI/ML algorithms as well as their application in business processes.
• Knowledge about the application architecture, data security and compliance.

Nice To Haves

• Knowledge with the following but not limited to 1) database systems like, MySQL, MongoDB, Big Query and Neo4j, 2) source code management system like GitHub, Mercurial, and SVN for collaborative development, 3) analytic notebooks such as Jupiter and Zeppelin, 4) expertise in creating interactive data visualizations with open-source web technologies such as Angular, Vue, React, or D3.js, as well as frameworks such as Shiny and Plotly Dash, 5) ability to develop data-intensive, containerized full-stack web applications using technologies such as Node.js, Flask, and Django, 6) knowledge with cloud-based environments such as Google Cloud, Microsoft Azure and AWS and their machine learning components, and 7) Experience working with big data analytical environments including Apache Spark, Presto, Impala, or other distributed SQL engines.

Responsibilities

• Lead the development of key focus areas in data science, develop strategies and define clear roadmaps to bring these to life, in partnership with senior executives across the Enterprise
• Engage executive-level stakeholders and translate business problems into solution concepts with business value impact
• Own the Data Science Competency and executes an upskilling program for broader data science community in Mondelēz.
• Lead the Artificial Intelligence Community of Practice (AI CoP) to create a network community of Data Science practitioners that supports upskilling, exchange of ideas, learning and career development
• Accountable for the MDS D&A Data Scientists and ML Engineering & Operations services in in support of the product streams.
• Manage enterprise projects and collaborate with stakeholders and teams globally.
• Roadmap design and execution
• Earn seat at the table for product stream leader forums
• Competency and curriculum in place
• Community expansion and embedment in functions and regions
• Career path in place and progress in Engagement Score
• On time delivery, TCO and quality

Benefits

• health insurance
• wellness and family support programs
• life and disability insurance
• retirement savings plans
• paid leave programs
• education related programs
• paid holidays and vacation time
• highly competitive bonus program with possibility for overachievement based on performance and company results and eligibility to participate in our long-term incentive program

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 5,001-10,000 employees