JobDescription:
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 andoperational excellence.
Through CDO, we deliverconnected insights across the entire Snacking ecosystem. We empowerour Associates with the right data, tools and capabilities so theycan take decisive action, maximizing value and making a meaningfulimpact on our consumers, our customers and ourbusiness.
The Sr. ML Lead willbe the principal solution architect within Mars Snacking with theresponsibility of making sure that each application is designedkeeping in mind the AI strategy for MarsSnacking.
This position will also be responsibleto guide and mentor the more junior members of the Data Sciencecommunity.
What arewe looking for?
* 7+ years ofexperience working in a quantitative role preferably in the CPG, orretail industry.
* 4+ years of experiencemanaging a team of data scientists, product analysts or dataanalysts
* Proven track record of deliveringvalue through AI/ Data Science products in a fast-paced, agileenvironment using a scalable and reusable codebase and models toaddress business problems effectively.
* Partnerwith business leadership across functions to identify businesschallenges and opportunities and translate them unto actionable,integrated, data-driven solutions.
* Eagerness tolearn, flexibility to pivot when needed, savviness to navigate andthrive in a dynamic environment, and a growth mindset needed tobuild a successful team
* An understanding ofproduct management principles such as product definition, roadmapbuilding and management, and product releases andcommercialization
* A strong customer centricmindset especially within an internal customer base with thepurpose of driving 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
* Familiarity withMicrosoft Azure tech stack, including but not limited to Azure DataFactory, Synapse Analytics, Databricks,GCP
Whatwill be your keyresponsibilities?
* Appliesstrong expertise in AI through use of machine learning, datamining, and statistical models to design, prototype and build nextgeneration ML engines andservices
* 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 andbenefits package, 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.