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Data Scientist
hace 2 semanas
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 Scientist - Monterrey
Primary Location:
Mexico (MX) - Nuevo León JD Shared Svcs-Monterrey
Function:
Data & Analytics (CA)
Major Purpose:
Collaborates with business facility to generate insights and answer questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization.
Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information.
Validates findings using experimental and iterative approaches.This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models.
Main Responsibilities:
- Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business.
- Supports the communication of derived insights, especially through appropriate visualization techniques.
- Supports the identification of the required data sources and works with Data Owners to implement methodologies to retrieve and use this data.
- Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business.
What Skills You Need:
- Knowledge of advanced data gathering and analysis technique.
- Knowledge of ETL process.
- Programming Languages: SQL, Python.
- Knowledge of PowerBI or Tableau, etc.
- Knowledge in Microsoft 365 tools (Power apps, Power automate, Sharepoint).
- Knowledge of Alteryx.
- Good Level of English language domain.
- Excellence in verbal and written communication forms with emphasis on persuasive communication, tact, and negotiation.
What Makes You Stand Out:
- Quantitative analytical skills.
- Knowledge of appropriate industry, Business Process.
- Good interpersonal, negotiation and conflict resolution skills.
- Motivation, empowerment, initiative to find the best solutions.
- Python and SQL knowledge and willingness to learn.
- 1+ year working with multicultural teams from other countries.
- 2+ y Project leadership experience.
- 13 years of data analytics experience.
Education:
- Degree in an Engineering/ Technology discipline or equivalent experience
- University Degree (4 Years or equivalent).
- Degree in a Science discipline or equivalent experience
- University Degree (4 Years or equivalent).
- Degree in a Math discipline or equivalent experience
- University Degree (4 Years or equivalent).
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