What you’ll do

Working in a small multidisciplinary team you will partner with Product Owners to solve problems that real users face using advanced digital techniques. That also means closely collaborating with users from our segments and to find the right problems to solve. More than that, you’ll use this direct user exposure to invent true ‘firsts’ that are new and emerging approaches that Royal Canin, and maybe even the industry, haven’t seen before. 

Your day-to-day activities will include, but not be limited to, the following:

• Work with internal teams to understand business problems and translate these into data-focused solutions

• Integrating and mining large datasets from disparate sources (internal and external; numerical and non-numerical) to identify new insights and patterns that can address identified business issues

• Develop, validate and deploy analytical models that drive business value

• Continuously monitor and improve models to increase the effectiveness of results

• Strong communication and presentation skills

• Conducting advanced statistical analyses of structured and unstructured datasets using a variety of modeling techniques, such as:  linear regression, time-series, classification, neural network and decision tree models, CNN and RNN, gradient boosting and others; producing recommender system, customer segmentation & targeting, propensity modeling, churn modeling, lifetime value estimation, forecasting and others

• Leverage technology to increase efficiency and productivity throughout the entire organization and act as a subject matter expert for information platforms and analytical/technical tools.

What you’ll need

A big part of your role will be choosing the most appropriate technique, based on business need and available data, to develop custom data models and algorithms. As part of that, you’ll also create processes and tools to monitor and analyze model performance and data accuracy. All the time, balancing time to deliver with level of detail and accuracy.

• Currently enrolled in a Bachelor’s degree or equivalent within the Data Science disciplines

• Project experience with modeling techniques such as significance testing; GLM/Regression; Random Forest; Boosting; Trees; text mining and social network analysis

• Experience using tools like Python, R and Spark

• Exposure to querying databases such a SQL, Hive

• Knowledge of big data platforms such as a Hadoop ecosystem (Azure) and Apache Spark

• Knowledge of data visualization tools such as Tableau, Power BI, D3, ggplot, Alteryx

What can you expect from Mars?

• Work with 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.