Contract: Permanent/CDI
Segment: Royal Canin
Location: Aimargues (30 min from Montpellier, FR), London (UK), Copenhagen (Denmark), or Veghel (Germany)
What are we looking for?
Experience developing ideas in collaboration with the business, understanding business processes being the owner of the limitations existing on the technical side
Educational background in computer science, other STEM or social sciences with an emphasis on quantitative methods or relevant experience developing data/analytical products
Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well-structured, data-informed way
You have few years of experience as a senior data scientist and are ready to take the next step
You have a deep interest in and enthusiasm for working with data and are highly motivated to drive positive change in organizations through data-driven decision making
You have strong communication skills, making highly technical content easy to understand for non-technical audiences
You partner with stakeholders effectively and can successfully engage with non-technical audiences
You enjoy mentoring and coaching others
Experience in retail analytics or FMCG/CPG industry is a plus.
What will be your key responsibilities?
Build and sustain a world class data science capability in Royal Canin and in PetCare
Be a go-to person in the delivery teams, hands-on-coding and setting in place code review
Mentor the team on data & analytics technical skills, career development and stakeholder management
Setting the team for each product domain, overseeing the deliverables as well as supporting and sparring
Ensure what is built is fit for purpose, translating business needs for the technical team in appreciation of the underlying business processes
Collaborate closely with and influence business and product staff and leaders as part of multidisciplinary teams to assess analytics opportunities and develop analytics products and solutions
Qualify product decisions rooted in business value and impact, considering user needs, technical needs, costs, and business viability, as well as the value to the wider business and related projects
Develop supporting structures to optimize product development, e.g., setup documentation structures, optimize general product code structure to minimize technical debt, develop visual findings templates to update business stakeholders and document data findings internally
Partner closely with peers and stakeholders within the data science engineering domain, broader engineering and product to support the successful end-to-end delivery of analyses and solutions
Stay up-to-data on data availability
Manage external stakeholders: Building requirements/structures that consultancies can plug into/formulate requirements to be met by consultancies e.g., how is code delivered, formal requirements for taxonomy, dev/test/prod setup
What can you expect from Mars?
At Mars, we believe in a relationship of mutual trust, dignity and respect between our company and Associates that is more meaningful than the standard employer/employee relationship.
As Associates, we can expect to be respected, supported and valued as individuals, to be treated fairly and equitably.
An environment where you are empowered to be proactive and to take initiatives to make a difference.
At Mars, we are committed to helping create a safe, healthy, and sustainable world for our partners and the communities in which we operate.
Since 2017, Royal Canin has supported the K-DOG program of the Curie Institute, which trains dogs to detect breast cancer via olfaction.
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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.