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Employer: Mars, Inc. – Petcare

Expires: 09/02/2022

Launching your career with Mars Petcare provides a unique opportunity hone your skills amongst industry leading data scientists, executives, entrepreneurs, and pet partners. Our nimble and flexible approach to work allows you to make an immediate impact across the business, while learning new skills at every stage. We believe in action. We break down barriers and unlock insights. The diversity of our work means an ever-evolving career filled with new and interesting experiences. Join us in our mission to create a better world for pets, alongside the industry’s brightest minds. Mars Petcare’s offices are global, and so are our associates. We are located in NYC, San Francisco, Portland, London, Helsinki, Shanghai, and in Moscow. Many of us flex between our dog-friendly hubs and our home offices. Today, Mars Petcare offers exceptional benefits to our associates, their families, and their pets, generous paid time off, exponential opportunities to build a career within pet care, and progressive reward packages. As an intern you’ll be exposed to a global team who are eager to continue evolving our technology ecosystem. Interested? Let’s take big strides, together. To get a small glimpse into what life at Mars Petcare looks like click here.What are we looking for?In this role, you will be ingrained in a team of Data Scientists developing novel solutions in machine learning and analytics to better the life of petsWe are looking for humble and hungry, agile students who have a drive for results, a desire to learn, and who can quickly build relationships. We are looking for students who are passionate about corporate sustainability, climate action, and advancing social and environmental sustainabilityStrong written communication skills This will be a REMOTE position.Eligible candidates will intern the summer prior to their final graduation date Open to students legally authorized to work in the U.S., without the need for current or future work status authorization or visa sponsorship for employment Employment is contingent upon successful completion of drug & background screening Pursuing a bachelor’s degree or equivalent experience in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science. Programming experience in Python or R. Skills in data analysis, machine learning, statistical analysis data wrangling, databases, data visualization, natural language processing, deep learning, Spark, DevOps technologies. Strong presentation and communication skills. Intellectually curious and driven by a desire to explore and find insights in new datasets. Energized by problem solving. Eager explore and find insights in new and complex datasets.What will be your key responsibilities?· Responsible for one end-to-end project where you will use a variety of data science skills to deliver actionable insights and build tools that influence Mars Petcare. Partner directly with stakeholders and your mentor to define and evolve the problem. Present your findings and recommendation to the relevant stakeholders and the senior Petcare Data and Analytics team to guide decision making. ·Perform data cleaning, EDA and research, code review, statistical analysis, machine learning, statistical model building, visualization, and other data science skills Participate in team meetings, the summer speaker series, feedback sessions, and brainstorms Collaborate with the data science and stakeholder teams to drive a consumer-centric approach Be curious, explore, learn, achieve, and have fun while doing it.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.To apply simply click  here.