Data Science Lead

Job Description:

The Chief Data Office (CDO) is a Mars Wrigley program that leverages data and insights to address key business challenges, driving quality growth and operational excellence.

CDO enables connected insights across the Mars Snacking ecosystem, equipping associates with the right data, tools, and capabilities to make informed decisions that maximize value and create meaningful impact for consumers, customers, and the business.

This role will be instrumental in driving AI and data science initiatives within Mars Snacking, focusing on demand and supply chain analytics. The position requires strong leadership in managing AI teams, developing scalable and high-quality AI solutions, and collaborating with business stakeholders to align analytics strategies with company objectives. The ideal candidate will have extensive experience in AI, machine learning, and advanced analytics, with a strong understanding of product management principles. They will ensure compliance with governance policies while fostering innovation in AI-driven decision-making. This role offers the opportunity to work in a dynamic environment, leveraging cutting-edge technologies to drive business impact.

What are we looking for?

• 7+ years of experience in a quantitative role, preferably in the CPG or retail industry.

• 4+ years of experience leading teams of data scientists, product analysts, or data analysts.

• Proven ability to deliver AI/Data Science solutions in fast-paced, agile environments using scalable, reusable code and models.

• Strong collaboration with business leaders to identify challenges and translate them into actionable, data-driven solutions.

• Adaptability, problem-solving skills, and a growth mindset to thrive in dynamic environments and build high-performing teams.

• Deep expertise in demand and supply chain KPIs and analytical solutions within the CPG/Retail industry.

• Understanding of product management principles, including product definition, roadmap development, and commercialization.

• Customer-centric approach to drive value creation, adoption, and usage within an internal stakeholder base.

• Strategic thinking, problem-solving, and innovation to anticipate and navigate challenges.

• Compliance with analytics standards, tailoring methodologies for ML, AI, and descriptive analytics.

• Ability to translate business needs into analytical frameworks with strong communication skills.

• Hands-on experience in advanced analytics and ML techniques, including NLP and time-series analysis, with a willingness to coach data scientists.

• Working knowledge of ML Ops and DevOps frameworks.

• Familiarity with Microsoft Azure tech stack, including Azure Data Factory, Synapse Analytics, and Databricks.

What will be your key responsibilities?

• Mars Principles: Embody and uphold the Five Principles of Mars, Inc. within the team and personal conduct.

• Stakeholder Engagement & Thought Leadership: Collaborate with Mars Snacking D&A leadership, product owners, and managers to shape and execute the AI and analytics strategy, aligning with business goals and data-driven decision-making.

  Team & Resource Management: Build and lead multi-location AI teams, overseeing the full model development lifecycle from ideation to deployment and continuous optimization, while managing resources effectively.

  Data Governance & Compliance: Ensure AI solutions adhere to governance policies, ethical AI principles, and privacy regulations while implementing best practices.

  AI & Data as a Product: Drive the development of scalable, secure, and high-quality AI models and data assets that address business challenges and enhance decision intelligence.

  Solution Ideation & Development: Lead a team of data scientists in creating cutting-edge AI and machine learning solutions tailored to business needs, ensuring accuracy, scalability, and impact.

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

• Best-in-class learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

#TBDDT

The base pay range for this position at commencement of employment is expected to be between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to, market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, if eligible, including variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits.  Eligibility for these additional elements depend on the position offered and the employee’s work schedule (i.e., part-time schedule, store associate).  Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.

USD 117,804.00 - USD 161,985.00