ChiefData Office (CDO) is a Mars Wrigley program that harnesses thepower of data and insights to solve some of the criticalbusiness-wide problems we face – unlocking quality growth andoperationalexcellence.
Through CDO, we deliver connectedinsights across the entire Snacking ecosystem. We empower ourAssociates with the right data, tools and capabilities so they cantake decisive action, maximizing value and making a meaningfulimpact on our consumers, our customers and ourbusiness.
This position willplay a key role in leading the Mars Snacking ecosystem into theever-evolving world of Generative AI. This role will lead Gen AIprojects in planning and execution across varying types of usecases (creative and processionary). They will create and defineframeworks, guidelines and standards to make sure that MarsSnacking is taking full advantage of thisfield.
They will also be expected to playhands-on when required and be able to guide the broader DataScience community through complex Gen AI and LLMOpsprojects.
What arewe lookingfor?
- 7+years of experience working in a quantitative role preferably inthe CPG, or retail industry.
- 4+ years ofexperience managing a team of data scientists, product analysts ordata analysts
- Proven track record of deliveringvalue through AI/ Data Science products in a fast-paced,agileenvironment using a scalable and reusablecodebase and models to address business problemseffectively.
- Partner with businessleadershipacross functions to identify businesschallenges and opportunities and translate them unto actionable,integrated, data-driven solutions.
- An expertunderstanding of LLMs, ML Ops, LLM Ops and pertinent designarchitecture elements.
- An understanding ofproduct management principles such as product definition, roadmapbuilding and management, and product releases andcommercialization
- Hands on experience inbuilding Agents and leveraging emerging technologies withinMicrosoft and Google to design an agenticecosystem.
- A strong customer centric mindsetespecially within an internal customer base with the purpose ofdriving value creation, adoption anduse
- Strategic thinking, problem solving andinnovation, with the ability to anticipate and navigate challengesand opportunities.
- Ensure compliance withanalytics standards, including tailoring methodologies to specificuse case needs such as ML, AI, and descriptiveanalytics.
- Ability to translate business needsinto analytical frameworks & superior verbal and writtencommunication skills
- Proficiency and hands-onexperience in advanced analytics techniques and machine learningalgorithms, including NLP, time-series analysis and other relevantmethods and willingness to coach data scientiststactically
- Working understanding of MLOps and DevOps frameworks
- Working expertise ofOpenAI Endpoints, Google Vertex, Google Model Garden and MicrosoftSuite of AIModels.
Whatwill be your keyresponsibilities?
- Serveas the key lead for Gen AI and LLM Ops in the Mars SnackingCommunity
- Applies strong expertise in AIthrough use of machine learning, data mining, and statisticalmodels to design, prototype and build next generation ML enginesand services
- Design, architect and reviewtechnical architecture of data sciencesolutions
- Plan and lead data science projectsthat cover a diverse range of businessproblems
- Serve as key point of contact withData Engineering and DevOps teams, for solution architecture andinfrastructure design
- Review work of teammembers identifying optimum methodologies, advising onimplementation, and checking business logic
- Usemachine learning techniques, visualizations, & statisticalanalysis to gain insight into various data sets – some readilyavailable, and some you create and curateyourself
- Collaborate with internal andexternal teams to ensure we focus on product and servicerecommendations and be a key player in our network oftalent
- Contribute to a high performing datascience function
- Create repeatable,interpretable, dynamic and scalable models that are seamlesslyincorporated into analytic dataproducts
- PerformanceMonitoring: Define key performance indicators(KPIs) and implement monitoring systems for deployed data platformsand products to ensure efficient operations data operations,effective support services and incidentmanagement.
- Solution ideationand Development: Guide a team of datascientists to create fit for purpose solutions using cutting edgeanalytical and AImethodologies.
- Focus onsetting up a Data Science AI program and deliverymethodology: Entails, recruiting and forming ateam to solve a specific problem; elaborating on a programmaticmindset and tracking valuedelivery
Whatcan you expect fromMars?
- Work with diverse andtalented Associates, all guided by the FivePrinciples.
- Join a purpose driven company,where we’re striving to build the world we want tomorrow,today.
- Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity.
- An industry competitive salary andbenefitspackage, including companybonus.
#TBDDT
Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.
