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Data Scientist

Date:  Jul 19, 2021

Portland, OR, US, 78730


About CDK Global, Inc

CDK Global (NASDAQ:CDK) is a leading provider of integrated data and technology solutions to the automotive, heavy truck, recreation and heavy equipment industries. Focused on enabling end-to-end, omnichannel retail commerce through open, agnostic technology, CDK Global provides solutions to dealers and original equipment manufacturers, serving nearly 15,000 retail locations in North America. CDK solutions connect people with technology by automating and integrating all parts of the dealership and buying process, including the acquisition, sales, financing, insuring, parts supply, repair and maintenance of vehicles. Visit

CDK Global is hiring a full-time DATA SCIENTIST.


Considering candidates in Austin, Cincinnati, Hoffman Estates, Portland, and San Jose.   This is an in-office position.  There is no remote option available.


We do not offer visa sponsorship/transfers or relocation for this position.


Job Description


As a member of the Customer Enablement organization, we are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our customers' lifecycles with CDK by proactively engaging in intervention. We are looking for a team member to build productionized data products to be provide our organization predictive insights and analytics to inform the business for strategic decisions and improve overall customer experience.




. Analyze large datasets using descriptive inferential statistics, clustering, and various predictive analytics (from basic exploration to complex data mining exercises).

. Ability to take very vague initial research questions/green field analysis problems and turn them into a concrete analysis project, by working directly with business stakeholders and guiding them through the problem definition stage for the project

. Take business requirements and turn them into a research project which includes designing and implementing A/B testing

. Qualitative and Quantitative research and analysis skills (including cognitive interviews, in-depth interviews, python statistical libraries, etc.).

. Experience using Probabilistic Programming and uncertainty estimation

. Creative aptitude and ability and desire to explore opportunities for new research innovations

. Drive stakeholder consensus in diverse groups, and generate buy-in on direction. plus ability to communicate findings to non-technical audiences (presentations, white paper style summaries)

. Understand emerging trends in data science, including new tools, languages and methodologies




. 3-5+ Work experience with Economics, Statistics, Machine learning, Deep Learning

. Degree in listed fields or equivalent experience (Statistics, Engineering, or Computer Science). Master’s degree desired.

. Strong programming skills and strong machine learning/statistics skills (Proficient programming experience using Python/R)

. Demonstrated ability to manage large disparate data sets and using quantitative and qualitative analysis.

. Implementation of predictive insights in business environment a plus


CDK Global knows you have passions outside of work.  You have family, friends, sporting events, and lots of things going on.   That’s why we offer a comprehensive benefits package to not only take care of you but your family as well.   All of our benefits are effective the first day of employment including 401K matching, paid time off to re-energize, donate your time to volunteer in your community, and tuition reimbursement to name a few.

At CDK, we pride ourselves on having a diverse workforce. We value and celebrate the uniqueness of individuals and the different perspectives they provide. We offer equal opportunity employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, or protected veteran status.  

Nearest Major Market: Austin

Job Segment: Database, Outside Sales, Computer Science, Supply, Data Mining, Technology, Sales, Operations

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