Data Scientist

Description:

• Supporting the MPI (Machine Parts Intelligence) snowflake datalab productionalization

[productionalization requires working with the IT group in order to take our SAS programs/output datasets and convert them into 'IT owned production code/data tables']

• Working closely with IT group to interpret and validate that the converted code/output datasets in production match our current datasets
• Required trainings to learn SAS, Snowflake, and SQL
• Required trainings to learn about the MPI program
• Candidate will be key contact from the IT group for questions on productionalization

Secondary/Future work:

• This individual could eventually be supporting analytics-based research projects, data visualization (i.e., Power BI), and/or ad hoc data analysis in aftermarket parts inventory management. Potential to support Machine Learning based research projects.

• Team has clearly defined purpose and goals to support our aftermarket inventory management business through research/simulations/analytics. We create regular opportunities for open discussion and ideas. We support personal development and professional growth. There is a strong atmosphere of helping each other out and team mentorship is strong as well.

Responsibilities:

• Candidate will need to work with our (research) team to learn SAS code/SQL/Snowflake and the MPI program
• Self-guided trainings will be required as needed.
• Requires detailed discussions and note taking to develop understanding of our current processes and what is MPI, etc.
• Regular meetings working together with MPI team in order to learn about program
• Data validation will become an important regular task.
• Eventually the candidate will become main contact between research team and the IT group to have MPI datalab productionalization moving forward to completion

Technical Skills Required:

• Either Python or R or SQL, and/or related technical software
• Microsoft Office Products

Desired:

• Experience with SAS and/or Snowflake (cloud data)
• Experience with Dataiku
• Experience Power BI or Tableau
• Utilizing machine learning models and/or deep learning (AI)
• Enthusiasm for big data processing, research, analytics, and problem solving

• Soft Skills Required:
  Demonstrates teamwork, initiative, and interpersonal skills
• Demonstrates the ability to communicate effectively verbally with PowerPoint
• Demonstrates the ability to effectively communicate concepts using data visualization, if needed
• Highly proficient written and verbal communication skills

Education Requirement:

• Bachelor's degree in an Industrial Engineering, Supply Chain Management, Data Science, Business Analytics, Mathematics, Statistics, Computer Science, Economics, Business, or Related Degree Program with quantitative and technically challenging coursework with 0-2 years' relevant experience.
• Minimum 2.8/4.0 Cumulative Grade Point Average (no rounding) at current institution.