Data Scientist I

FedEx Dataworks; United States; Remote; USD 67,000 - 102,000; Full time

Job summary

A leading company is seeking a Data Scientist I to support data science innovation, collaborate with teams, and work on complex data problems. The role involves using advanced data science and machine learning techniques to deliver actionable insights and solutions. Candidates should have a strong background in quantitative disciplines and experience with various data science tools. The position offers opportunities for remote work within the U.S.

Benefits

Health Insurance

Vision Insurance

Dental Insurance

Retirement

Tuition Reimbursement

Qualifications

• Minimum 1 year experience or Master's Degree in a quantitative discipline.
• Strong knowledge in advanced data science and machine learning tools.

Responsibilities

• Support data science innovation and collaborate with multi-disciplinary teams.
• Work with large data sets to solve complex analytical problems.

Skills

Machine Learning

Data Science

Statistics

Python

Agile

Education

Bachelor's Degree

Master's Degree

Tools

SKLearn

Tensorflow

Pytorch

Spark

Job description

Join to apply for the Data Scientist I role at FedEx Dataworks.

FedEx Dataworks, born out of FedEx—an organization that ships nearly 20 million packages daily—is focused on connecting the physical and digital aspects of our network to meet current needs and future challenges.

We create opportunities for FedEx, our customers, and the world by:

• Exploring and harnessing data to solve real problems
• Removing barriers between data sets to create insights
• Building and iterating solutions that generate value
• Acting as change agents to foster curiosity and performance

We aim to make supply chains smarter for everyone.

Position Summary

Under supervision, supports the advancement of Dataworks’ capabilities in deploying data science and machine learning tools in projects, platforms, and products. Supports the design of reusable data science assets and stays current with the latest methods and tools for large-scale, complex problems. Applies descriptive, diagnostic, predictive, prescriptive, and ensemble modeling, statistical techniques, and database tools in analyzing complex business situations. Provides recommendations based on data science methods and machine learning practices, working alongside peer data scientists.

Responsibilities

• Support data science innovation, define, and build the Dataworks organization, assisting senior data scientists in delivering key initiatives.
• Collaborate across disciplines, acting as a translator between IT, business, software engineers, and data engineers.
• Contribute to technical standards for data science and machine learning, including designing reusable data assets.
• Work with large datasets and complex analytical problems, applying advanced methods.
• Support the development and deployment of solutions from concept to production, using current technologies to derive insights and recommendations.
• Participate in code development and small-scale deployment support daily.
• Understand business and technical problems at a high level.
• Explore data and develop models to address core business challenges, inventing new approaches as needed.
• Help scale solutions from laptop to cluster scale, standardizing and industrializing approaches.
• Deliver value rapidly, collaborating across diverse teams and external partners.
• Follow best practices for reusability, creating accessible patterns, templates, and codebases.

Knowledge, Skills, and Abilities

• Background in computer science, data science, machine learning, AI, statistics, or related fields.
• Experience designing and deploying large-scale technical solutions that provide ongoing value.
• Familiarity with building and deploying production systems using modern data science methods.
• Ability to support dispersed teams and troubleshoot technical challenges.
• Proven ability to support technical projects under tight deadlines.
• Pragmatic, engineering mindset focused on performance and impact.
• Experience working with distributed teams, version control, and code reviews.
• Strong theoretical foundation in data science concepts.
• Knowledge of modeling techniques, supported by advanced research.
• Understanding of mathematical primitives like Linear Algebra and Vector Calculus.
• Experience with agile and devops practices, including CI/CD.
• Familiarity with tools and languages like SKLearn, XGBoost, TensorFlow, PyTorch, Python, Scala, Java, Spark, Kafka, CPLEX, Gurobi, etc.

Minimum Education

Bachelor’s degree with at least one year of experience, or Master’s degree in a related quantitative field.

Minimum Experience

Strong knowledge in data science and machine learning, including end-to-end analysis, data gathering, and presentation. Understanding of the transportation industry, with excellent communication skills.

Domicile and Work Location

This role can be based anywhere in the U.S., with remote work possible.

Preferred Qualifications

Additional details on salary range, application process, and equal opportunity employment statement included.