Job Description:
Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth and operational excellence.
Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.
The Sr. ML Lead will be the principal solution architect within Mars Snacking with the responsibility of making sure that each application is designed keeping in mind the AI strategy for Mars Snacking.
This position will also be responsible to guide and mentor the more junior members of the Data Science community.
What are we looking for?
- 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry.
- 4+ years of experience managing a team of data scientists, product analysts or data analysts
- Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.
- Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.
- Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team
- An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization
- A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use
- Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.
- Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.
- Ability to translate business needs into analytical frameworks & superior verbal and written communication skills
- Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically
- Working understanding of ML Ops and DevOps frameworks
- Familiarity with Microsoft Azure tech stack, including but not limited to Azure Data Factory, Synapse Analytics, Databricks, GCP
What will be your key responsibilities?
- Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services
- Design, architect and review technical architecture of data science solutions
- Plan and lead data science projects that cover a diverse range of business problems
- Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design
- Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic
- Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself
- Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent
- Contribute to a high performing data science function
- Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
- Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management.
- Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies.
- Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery
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
Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
