Client Name: John Deere
Job Title: Data Scientist I
Location: Cedar Heights Drive, Waterloo, Iowa, USA, 50613-8000
Period: 36 Months
Hours per Week: 40
Specific Position Requirements:
Your Responsibilities
• Develop, maintain, & grow cost intelligence databases
• DEVELOP: Create and enhance databases for improved efficiency and interactive experience for expanded users
• INGEST: Mine and clean data to extract differentiating cost details and ensure fair comparisons
• DIGEST: Develop interactive visualizations to foster data-driven discussions and ideation
• Develop, Maintain & Grow reporting tools for costing activities and workload management
• Utilize data processing techniques to capture changes and automate reporting activities
• Develop dynamic reports for tracking metrics based on live system data
What Skills You Need
• Experience building & analyzing large amounts of data
• Experience in Applications: Tableau, PowerBI, Databricks, MS Excel, SAP, etc.
• Experience with Programming: SQL, Python (or similar), VBA, etc.
• Experience with Databases: SAP HANA, AWS, etc.
• Need to be a self-starter who can find gaps, develop proposals, and gain alignment on solutions with stakeholders
• High level of attention to detail and accuracy
• Ideally you will have a degree or equivalent related work experience in the following:
• Mathematics, Engineering, Data Analytics, Computer Science, Information Technology
What Makes You Stand Out
• Experience with diesel engines
• Experience with engineering Bill of Materials (BOMs)
• Experience reading technical engineering documents
• Experience interpreting supply management documentation (schedule agreements, purchase orders, quote forms, etc. )
• Experience in supply management or supply chain
Description:
MAJOR PURPOSE:
Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning.
Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. Validates findings using experimental and iterative approaches.
This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models.
Output is reviewed by higher-level Data Scientists or Analytics Manager for execution.
MAJOR DUTIES:
Description of the major duties performed in this job.
• Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business.
• Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner.
• Supports the communication of derived insights, especially through appropriate visualization techniques.
• Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data.
• Stays abreast of the latest appropriate analytical techniques and recommends these where needed. Explains implementation and usage in business terms.
• Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business.
QUALIFICATIONS:
Competencies, technical skills, formal education and relevant work experience critical for successful
individual performance of essential functions.
Technical Skills & Knowledge:
Specialized skills, knowledge and abilities needed to perform the essential functions of the job.
• Business process knowledge of assigned area(s) and/or function(s). - Has a good understanding of the principles and can independently use the knowledge.
• Knowledge of advanced data gathering and analysis techniques, including statistical analysis. - Has a good understanding of the principles and can independently use the knowledge.
• Knowledge of appropriate industry - Has a good understanding of the principles and can independently use the knowledge.
• Good interpersonal, negotiation and conflict resolution skills. - Yes
• Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation. - Has a good understanding of the principles and can independently use the knowledge.
• Quantitative analytical skills - Has a good understanding of the principles and can independently use the knowledge.
Education:
Formal education or training required to perform the essential functions of the job. Includes degrees, certifications, licenses and/or registration requirements.
• Degree in a Math discipline or equivalent experience. - University Degree (4 years or equivalent)
• Degree in an Economics discipline or equivalent experience. - University Degree (4 years or equivalent)
• Degree in a Statistics discipline or equivalent experience. - University Degree (4 years or equivalent)
Relevant Work Experiences:
Type and amount of experience necessary to perform the essential functions of the job. May include specific roles and/or an understanding of a particular function, organization, industry or product line.
• Internal or external industry specific experience in relevant discipline. - 1 - 3 years
• Data analytics experience. - 1 - 3 years
• Background or proven experience in mining data for analytics insights. - 1 - 3 years
• Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner - 1 - 3 years