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Data Scientist

Parker Hannifin Corporation

Cleveland, OH 44101
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Job Details

Data Scientist

United States

Group:Corporate Group North America

Job Family:Marketing

Job ID:17075-1A


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Equal Employment Opportunity
Parker Hannifin's Enterprise Performance Management & Analytics team is looking for a full time data scientist who is fluent in using today's data science and mining methods and tools, with excellent communications skills, and who thrives on creatively solving complex problems. This position is located in our Global Corporate Headquarters in Cleveland, OH, a very dynamic industrial B2B environment.As a 100 year old Fortune 250 company whom has always been on the forefront of technology, we have more content to work with than most, and we have many of our industry's best and brightest professionals to learn from and partner with across many potential career paths.Successful candidates will be fluent in performing data analytics, using data science methods in today's tolls of the trade, to support, design and implement analytical data products used to enhance our customer and business user interactions and business decisions throughout the corporation.This position reports to the Director of Business Reporting & Analytics, and as part of the Enterprise Performance Management & Analytics team, this position supports all levels of management at corporate, groups and divisions, across multiple functional areas and countries.Essential Functions:
Subject Matter Expert in a defined functional area or areas.
Create, maintain and report out on a monthly, quarterly and annual basis, key metrics for defined areas of expertise.
Builds and maintains on-line and off-line predictive models for various key performance measures and or forecasts at the enterprise, group and division levels, and other groupings like sales forces and or clusters of customer populations, and communicates results to decision makers for follow up action.
Identify and investigate trends that warrant deeper analysis, and advise decision makers of implications and potential corrective actions.
Develop and manage data quality and normalization and attribution models and metrics needed to make multiple disparate data sources usable for data mining and other analytical uses
Monitor and adapt models to changing business needs
Define and provide input for experiment design and quantitative analysis within area of expertise.
Support Ad hoc requests as a leader, advisor or contributing team member for key projects as needed
Manage the integration of key external data sources into our enterprise data repositories for use by all analytics teams and report writers across the enterprise
Design and manage pattern databases for use in predictive modeling and other data mining analysis
Conform with and contribute to Enterprise Performance Management & Analytics governance processes and policiesQualifications:
- 7-10 Years of experience applying advanced analytics and data mining methods that impact business results in area of expertise.
- Bachelors Degree in Physics, Data Science, Statistics, Econometrics, Mathematics, Operations - Management or other quantitative discipline. PhD or Master's Degree preferred.
- Skilled in data mining, feature engineering, machine learning and advanced statistical analysis in a business setting.
- Proficient with data wrangling, working with large data sets of varying quality, structured &
un-structured to solve business challenges.
- Proficient in Statistical Software (R, Python, SPSS, SAS, Stata), Java, SQL, Microsoft Office, and other tools and data types.Parker is an Equal Opportunity and Affirmative Action Employer. Parker is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job related reasons regardless of race, ethnicity, color, religion, sex, sexual orientation, age, national origin, disability, gender identity, genetic information, veteran status, or any other status protected by law. U.S. Citizenship/Permanent Resident is required for most positions.(Minority/Female/Disability/Veteran/VEVRAA Federal Contractor)If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to
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