Data Scientist II: ML & Large-Scale Analytics

Federal Express Corporation; Memphis (TN); On-site; USD 69,000 - 151,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

Retirement plans

Tuition reimbursement

Job summary

Federal Express Corporation is seeking a data science professional to advance cutting-edge analytics across projects, platforms, and products. You will anchor best practices and design reusable data science assets while addressing large-scale, complex problems.

You will apply a range of statistical techniques, collaborate with peers, and contribute to cost reduction, profitability improvements, and improved customer experiences through ML-driven insights.

Qualifications

• Master’s degree in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field.
• At least two years of professional experience applying data science, machine learning, statistics, operations research, and data analytics to reduce costs, improve profitability, and enhance customer experience.

Responsibilities

• Applies descriptive, diagnostic, predictive, prescriptive and ensemble modeling and statistical techniques in quantitative analysis of business situations.
• Provides recommendations to moderately complex issues through knowledge of data science methods and machine learning practices.
• Collaborates with data scientists in peer positions to advance projects.

Skills

Data science

Machine learning

Statistical analysis

Operations research

Data analytics

Education

Master’s degree in a related quantitative field

Job description

Federal Express Corporation is seeking a data science professional to advance cutting-edge analytics across projects, platforms, and products. You will anchor best practices and design reusable data science assets while addressing large-scale, complex problems.

You will apply a range of statistical techniques, collaborate with peers, and contribute to cost reduction, profitability improvements, and improved customer experiences through ML-driven insights.