Join our Talent Network
Skip to main content
Data Science Specialist

Location: CLEVELAND, OH, United States
Job Family : Information Technology
Job Type : Regular
Posted : Aug 2, 2021
Job ID: 24649

Job Description
Save Job Job Saved

Parker Hannifin's Corporate Enterprise Performance Management and Reporting team is looking for a full-time data scientist specialist who has experience in an enterprise sales & marketing function and an interest or experience in data science and mining methods and tools, with excellent communications skills, and who thrives on creatively solving complex problems. Successful candidates will be familiar with performing data analytics, using data science methods to support, design and implement analytical data products used to enhance our customer and business user interactions and business decisions throughout the organization. This position reports directly to the Director of Business Reporting & Analytics and indirectly to IT Enterprise Systems Manager for Data & Analytics, and supports all levels of management at corporate, groups and divisions, across multiple functional areas and countries.

Responsibilities
  • Hypothesize, ideate and implement advanced analytics for operational improvement
  • Perform descriptive, diagnostic, predictive and prescriptive analysis
  • Monitor and adapt models to changing business needs
  • Expand and support a growing analytics community throughout the organization
  • Create, maintain, advance and support analysis of key enterprise datasets
  • Deliver advanced insights around Enterprise KPIs
  • Support organizational efforts to centralize and standardize data
  • Utilize and implement best-in-class self-service tools and products
  • Build and maintain predictive models for various key performance measures and or forecasts at the enterprise, group and division levels
  • Communicate findings to various levels of the organization
  • 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
  • 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

    Qualifications
  • 3+ years of experience in sales & marketing or sales & marketing analytics
  • Bachelor’s Degree in Physics, Marketing, Accounting, Engineering, Supply Chain, Statistics, Economics, Applied Mathematics, Data Science or like competency
  • Skilled in problem solving, data mining, statistical analysis in a business setting
  • Experience with applying advanced analytics and data mining methods to drive business results
  • Experience with data wrangling, working with large data sets of varying quality, structured & un-structured to solve business challenges
  • Experience with Statistical Software, Python for Data Analysis, SQL, Power BI, Azure Data Warehouse, Azure Databricks and Alteryx.

    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. However, U.S. Citizenship, Permanent Residency or other appropriate status is required for certain positions, in accord with U.S. import & export regulations. (“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 http://www.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and http://www1.eeoc.gov/employers/upload/eeoc_gina_supplement.pdf
  • Save Job Job Saved