Junior Data Scientist: Analytics & Modeling

Federal Express Corporation; Memphis (TN); On-site; USD 65,000 - 90,000; Full time

Job summary

Federal Express Corporation seeks a data-focused professional to assist in analyzing data from various databases to drive product development and business strategy. The role supports development of analytical models, dashboards, and data visualizations to monitor model performance.

Requirements include a Bachelor's degree in a quantitative field and at least one year of experience with data mining, ML models, or data visualization, plus knowledge of Python, SQL, R, and SAS.

Qualifications

• Bachelor's degree in a quantitative field.
• One year experience in data mining, statistical models, ML models, or data visualization.
• Advanced knowledge of statistics and modeling techniques.
• Knowledge of programming languages and data visualization techniques.
• Strong written and verbal communication and interpersonal skills.
• Ability to work on multiple projects in a team.

Responsibilities

• Assist in analyzing and interpreting data to identify trends and insights for business problems.
• Shadow and assist in developing analytical models and dashboards to monitor performance.
• Help ensure data accuracy and reconcile data from disparate sources.
• Collaborate with stakeholders and other teams to understand business questions.
• Assist in implementing models and monitoring outcomes for business solutions.
• Perform other duties as assigned.

Education

Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics, industrial engineering, or related quantitative field

Tools

R

Python

SQL

SAS

Job description

Federal Express Corporation seeks a data-focused professional to assist in analyzing data from various databases to drive product development and business strategy. The role supports development of analytical models, dashboards, and data visualizations to monitor model performance.

Requirements include a Bachelor's degree in a quantitative field and at least one year of experience with data mining, ML models, or data visualization, plus knowledge of Python, SQL, R, and SAS.