Job description
Job Description:
As part of the data analytics team the job holder will use advanced data science methodology to contribute to the delivery of a portfolio of data science projects in collaboration with other team members and a variety of stakeholders across our petcare ecosystem. They will be supported in continuing development of their knowledge and capabilities and will be expected to participate in initiatives to ensure quality and innovation in the team's work.
Key Responsibilities
- Execute data science projects in a collaborative environment, taking responsibility for data analysis, including statistical modelling and machine learning, and data management and reporting with a repeatable, interpretable and scalable approach.
- Work with key stakeholders across the organisation to deliver value-adding data science projects across the Mars Petcare organisation.
- Advocate for and educate on the purpose of data-driven research and work to high scientific standards, adhering to technical best practices and ways of working.
- Maintain an up-to-date knowledge of data modelling, analysis and data management methods and tools.
- Develop relationships with key functional teams across the organisation.
Knowledge/Experience
- Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications.
- Understanding of statistical principles related to sampling, bias, inference and prediction.
- Ability to solve problems considering all constraints, context and risks.
- Solid knowledge of R or Python and related packages for data processing, visualisation and analysis.
- Awareness of techniques for querying and processing large data sets (Spark, SQL) and big data platforms (Azure).
- Understanding of coding best practices including clean, modular code, reproducibility, testing, version control (GitHub).
- Ability to effectively communicate complex data science verbally and through written materials to a variety of audiences.
What can you expect from Mars?
- Work with over 130,000 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.
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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.