Data & Analytics Rotational Development Program

John Deere; Grovetown (GA); On-site; USD 102,000 - 103,000; Full time

Benefits offered by this job

Flexible work arrangements

Competitive base pay

401K plan

Health benefits

Tuition assistance

Employee discounts

Fitness subsidies

On-site gyms

Job summary

John Deere’s Data & Analytics Development Program II is a full-time rotation program for new or recent graduates aiming to become a Data Scientist, Data Engineer, or BI Analyst. Over three one-year assignments, you rotate across Financial Services, IT, Precision Agriculture, Customer & Product Support, Sales & Marketing, Engineering or others.

Candidates must have a Master’s or PhD in a quantitative field, desirable GPA 3.0, and experience in statistical analysis, data visualization, and

Qualifications

• Master's or PhD degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering or related quantitative discipline.
• Desired GPA 3.0 on a 4.0 scale.
• Experience with applied statistical analysis, modeling and data visualization.
• Proficiency in Python, SQL and R.

Responsibilities

• Build a network of analytics contacts across John Deere's business areas.
• Gain expertise using the latest analytics technology & tools.
• Apply data science and data engineering techniques to solve business problems.
• Lead and/or support key analytics projects.
• Manage and work with large, diverse data sets.
• Collaborate with data and analytics colleagues and stakeholders.

Skills

Statistical analysis

Data visualization

Algorithms development

Education

Master's or PhD in Data Science or related field

Tools

Python

SQL

R

Job description

John Deere’s Data & Analytics Development Program II is a full-time rotation program for new or recent graduates aiming to become a Data Scientist, Data Engineer, or BI Analyst. Over three one-year assignments, you rotate across Financial Services, IT, Precision Agriculture, Customer & Product Support, Sales & Marketing, Engineering or others.

Candidates must have a Master’s or PhD in a quantitative field, desirable GPA 3.0, and experience in statistical analysis, data visualization, and