Supply Chain Data Scientist: Predictive Analytics

Parker Hannifin; Cleveland (OH); On-site; USD 90,000 - 140,000; Full time

Job summary

Parker Hannifin is seeking a Supply Chain Data Science Specialist to design and implement analytics that support our global supply chain. The role involves building models, dashboards and data products to improve operations, forecasting and decision-making across divisions and countries.

You will collaborate with analytics teams, finance and engineering to scale data-driven solutions, monitor model performance and drive data quality initiatives in a corporate setting.

Qualifications

• 3+ years of experience in the business function the role supports (i.e., Supply Chain, Pricing, HR, Finance, etc.).
• Bachelor's Degree in the business function, 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.

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

Skills

Problem solving

Data mining

Statistical analysis

Advanced analytics

Data wrangling

Education

Bachelor's Degree in related field

Tools

Python

SQL

Power BI

Azure Data Warehouse

Azure Databricks

Alteryx

Statistical Software

Job description

Parker Hannifin is seeking a Supply Chain Data Science Specialist to design and implement analytics that support our global supply chain. The role involves building models, dashboards and data products to improve operations, forecasting and decision-making across divisions and countries.

You will collaborate with analytics teams, finance and engineering to scale data-driven solutions, monitor model performance and drive data quality initiatives in a corporate setting.