Data Scientist II

FedEx Dataworks; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Data Scientist II to leverage data science and machine learning tools for innovative solutions. The role involves collaborating with multidisciplinary teams, solving complex problems, and advancing data-driven initiatives. Candidates should have a strong background in computer science or related fields, with experience in deploying large-scale technical solutions. This position offers potential for remote work across the U.S.

Qualifications

• Two years of experience in data science and analytics.
• Familiarity with end-to-end analysis and data processing.

Responsibilities

• Understanding business and technical problems Dataworks aims to solve.
• Exploring data and modeling to answer core business questions.
• Delivering value rapidly by collaborating with diverse teams.

Skills

Machine Learning

Statistics

Data Science

Mathematics

Education

Master’s Degree in Computer Science

Master’s Degree in Operations Research

Master’s Degree in Statistics

Master’s Degree in Applied Mathematics

Tools

Python

TensorFlow

PyTorch

Spark

Kafka

Job description

Join to apply for the Data Scientist II role at FedEx Dataworks

Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.

We are creating opportunities for FedEx, our customers, and the world at large by:

• Exploring and harnessing data to define and solve true problems
• Removing barriers between data sets to create new avenues of insight
• Building and iterating on solutions that generate value
• Acting as a change agent to advance curiosity and performance

At FedEx Dataworks, we are making supply chains work smarter for everyone.

Position Summary

Under general supervision, advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Anchors current best practices by supporting the design and build of reusable data science assets. Simultaneously works to keep Dataworks on the bleeding edge by understanding the latest and most sophisticated methods and tools for handling large-scale and complex problems. Applies descriptive, diagnostic, predictive, prescriptive and ensemble modeling, statistical techniques, and database tools in the analysis of complex business situations. Provides recommendations for moderately complex issues based on data scientific methods and machine learning/data engineering practices. Collaborates with peer data scientists.

The Data Scientist II plays a pivotal role, focusing on delivering data science innovation, defining and building the Dataworks organization, and executing key business initiatives. Acts as a translator between IT, business, software engineers, and data engineers, working with multidisciplinary teams. Contributes to technical standards for data science and machine learning, including designing reusable data assets. Works with large datasets and solves analytical problems using advanced methods. Executes solutions from concept to production, evaluating trends and developing insights. Involves code development and medium-scale deployments daily.

Responsibilities

• Understanding both business and technical problems Dataworks aims to solve
• Exploring data and modeling to answer core business questions
• Inventing new approaches and algorithms for data-intensive problems
• Pioneering R&D to understand state-of-the-art methods
• Scaling solutions from laptop to cluster scale, standardizing and industrializing solutions
• Delivering value rapidly by collaborating with diverse teams
• Engaging with external technologists and partners for synergies and improvements
• Following best practices for reusability in patterns, templates, and code bases

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 deliver ongoing value
• Familiarity with building and deploying production systems implementing modern data science methods at scale
• Ability to support dispersed teams and unblock technical obstacles
• Support for technical projects under tight deadlines
• An ‘engineering’ mindset for rapid, pragmatic decisions
• Experience working with distributed teams, version control, and code reviews
• Strong mathematical foundation in data science concepts
• Knowledge of modeling and analytical techniques, supported by research or practical experience
• Familiarity with linear algebra, vector calculus, and related primitives
• Experience with agile and devops practices, including CI/CD
• Knowledge of tools like SKLearn, XGBoost, TensorFlow, PyTorch, MLlib, Python, Scala, Java, MLFlow, Databricks, Spark, Kafka, CPLEX, Gurobi

Minimum Education

Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics, or related field.

Minimum Experience

Two years of applying data science, operations research, and data analytics to reduce costs, increase profitability, and improve customer experience. Familiarity with end-to-end analysis, data gathering, processing, analysis, and presentation. Understanding of the transportation industry, competitors, and evolving tech. Experience in multi-functional teams. Strong communication skills.

Domicile Information

This position can be domiciled anywhere in the U.S., with potential for remote work based on business needs.