Data Scientist at Mars

What are we looking for?
Bachelor’s degree or equivalent in Marketing, Data Science, Mathematics, Statistics, or other numerate disciplineNice to have – Masters / Degree with computing, scientific, statistical or mathematical component3+ years varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retailHands-on experience with Python (numpy, pandas, etc) is required; Familiarity with PySpark is also desirableMust have excellent communication skills, and interact effectively with internal stakeholdersGood problem solving skillsSuperior planning, project management and organizational orchestration skills and a strong attention to detailConfident in identifying and escalating key points/issuesTruly inspired by, and want to live, our purpose of creating a better world for pets.Writes code following PEP-8 guidelinesUnderstands the implications of code on execution timeCan identify dependencies when productionizing modelsAlso desirable:Passion for growing and strengthening a business using data driven approachesFamiliarity with cloud-based computing services e.g. Azure, Databricks, etc.Enjoys explaining how models and systems work to both non-technical and technical stakeholders.Experience in packaged goods, retail and/or medical sector preferablePersonal traits:Comfortable with ambiguity, with a passion for collaboration to achieve objectivesGood head for numbersQuick learner, ability to understand and simplify highly complex scenarios.Value focused with high energy and drive.
What will be your key responsibilities?
We are searching for an experienced Analytics professional to join the data science function; to help deliver the ecosystem analytics roadmap across all divisions; working closely with the division stakeholders in managing and delivering projects; working with global teams to identify and implement efficient delivery of the vision; and, to articulate the strategic opportunities of a pet-centric analytics driven strategy.The role reports in to the Head of Data Science -North America.  The primary responsibilities are:Apply data science approaches to understand and predict pet and pet owner behaviorsUse machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourselfCollaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations  Develop compelling stories that provide insight into the drivers of business performance and Pet/Pet Owner behaviorA desire to develop data science models from idea initiation through to production.Ensuring outstanding delivery of pet and pet-owner centric insight, analytics and data science across Petcare divisionsWork closely with team members and stakeholders to achieve thisApply a pet and pet-owner centric approach to problem solving across divisions ensuring highest standards of insight and data science delivery to create changeParticipating in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-ownersApplication and documentation of best practice standards in the execution of analytics projects for value creationEnthusiastically learn new technologies and techniquesContribute to the upskilling of Petcare by inspiring local teams with insight and story-telling to gain deeper engagement with the Powered By Data strategyAdherence to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to leverage effectively data for their advantage, to abide by all laws and relevant best practices
What can you expect from Mars?
Work with over 130,000 like-minded 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.