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Data Scientist - Risk Analytics

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.

Primary Location: United States (US)- Iowa (US-IA)- Johnston
Function: Data Science & Analytics
Title: Data Scientist - Risk Analytics- 66265

Your Responsibilities

As a Data Scientist at John Deere Financial in Johnston, IA, you will use R, SAS and SQL to investigate, join, and analyze large data sets in order to derive actionable insights for the business associated with credit decisions, portfolio performance, marketing, and other credit operational business partners.

The Risk Analytics team has four primary responsibilities: independent portfolio review, credit quality scorecard development, decision automation management, and analytical business insights.

This position is responsible for supporting cross portfolio activities driving increases in automation in the credit decision and adjudication process.

This role is necessary to sufficiently support the US and CA credit teams and to meet decision automation goals.

In addition, you will;



* Build and deploy analytical solutions to increase automation in the credit decision and adjudication processes


* Develop predictive models using various statistical methods or machine learning algorithms.

Model types may include probability of default models, customer behavior modes, loss given default models, etc.


* Maintain, monitor, and evaluate the ongoing performance of statistical models and other risk assessment tools in order to remain in compliance with internal and third-party standards and regulations

Visa sponsorship is NOT available for this position

Proven Technical Skills and Experiences



* Experience using at least one analytics programming language such as SAS, SQL, R, or Python


* An ability to convey information to others through data visualizations


* An understanding of basic predictive modeling techniques such as binary logistic regression or continuous regression


* Hands-on experience utilizing large data sets from various sources and databases

Interpersonal, Leadership and Teaming Competencies



* Experience using machine learning algorithms to build supervised learning models used in predictive analytics


* Understanding of JDF (or other lending) business functions, processes, and procedures


* Experience analyzing and visualizing data through advanced visualization tools such as Tableau

Education (or equivalent work experience)



* Bachelor's degree in Data Science/Analytics, Actuar...




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