There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before in our 175:Year history. Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.Title:Data ScientistPrimary Location:Mexico (MX):CoahuilaJD Shared Svcs:MonterreyFunction:Data Science and AnalyticsMain ResponsibilitiesDevelops, implements, and supports methodologies, standards, and tools for data management such as metadata management, data mining, predictive modeling, data cleansing, transformation and matching, data stewardship, data quality, data integration, data security, and data marts.:Organizes and cleans the data to remove quality issues, combines data sources, and provides relevant information which may include developing samples used to create analytics models or reports.:Locates and acquires data from existing data locations, external sources, and new data sources as needed to support analytics and reporting.:Works on new data provisioning solutions, explores new ways of organizing data, and focuses on developing sustainable data usage for designated stakeholders including access, costs, and organization processes.:Supports data governance activities by acting as a data steward or custodian of certain data elements.:Creates ad hoc reports and visualizations that support data:Driven decisions.:Works with IT to ensure the data architecture meets the needs of the analytics teams and aligns with overall.What Skills You Need:Multiple programming languages and script development in Python, R, Java, C, C++,:Query languages as SQL for several DBMS:Knowledge in cloud computing:Understanding of programming languages relative to multiple Data Base Management Systems (DBMSs).:Experience creating and using advanced machine learning algorithms and statistics:Regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.:Experience visualizing / presenting data for stakeholders using Business Objects Tableau and Power BIWhat Makes You Stand Out:Previous experience with data modeling tools and managing multiple logical and physical data models.:4:7 years:Work experience in a team environment.:4:7 years:Internal or external industry specific experience in relevant discipline.:4:7 years:Data analytics experience.:4:7 years:Industry experience in data mining and hands:On experience in quantitative modeling, analysis and:Data modeling. 4:7 yearsEducationData scientist, Degree in an Information Technology discipline, Math discipline, Statistics discipline or equivalent experience (4 years)