Join the Innovative Team at FedEx Dataworks as a Data Scientist I
FedEx Dataworks is seeking a highly motivated and talented individual to join our team as a Data Scientist I. This is a full-time remote opportunity with an immediate start, offering a competitive salary and a chance to work on cutting-edge data science and machine learning projects. As a Data Scientist I, you will play a pivotal role in supporting data science innovation within Dataworks, helping to define and build the Dataworks organization, and supporting more senior data scientists in the delivery of key business initiatives.
About FedEx Dataworks
FedEx Dataworks is a leading provider of data science and machine learning solutions, driving business growth and innovation through advanced analytics and insights. Our team is comprised of talented individuals from diverse backgrounds, working together to solve complex business problems and create data-driven solutions. We are committed to fostering a culture of innovation, collaboration, and continuous learning, and we are excited to welcome a new team member to join our journey.
Key Responsibilities
- Under full supervision, contribute to the design and build of reusable data science assets, anchoring current best practices and staying up-to-date with the latest methods and tools.
- Support the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations.
- Collaborate with multi-disciplinary teams, including IT, business, software engineers, and data engineers, to identify business problems and develop data-driven solutions.
- Explore data and craft models to answer core business problems, often applying advanced methods and techniques.
- Help scale up from "laptop-scale" to "cluster scale" problems by contributing to efforts to standardize and industrialize solutions.
- Interact with peer technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement.
- Follow best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases.
Essential Qualifications
- Bachelor's Degree in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative discipline.
- At least one year of experience in data science, machine learning, or a related field.
- Strong knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale.
- Experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis, and presentations.
- Strong oral and written communication skills.
Preferred Qualifications
- Master's Degree in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative discipline.
- Experience with designing and deploying large-scale technical solutions that deliver tangible, ongoing value.
- Familiarity with building and deploying production systems that implement modern, data scientific methods at scale.
- Knowledge of agile and devops practices for project and software management, including continuous integration and continuous delivery.
- Familiarity with common languages and tools, such as SKLearn, XGBoost, Tensorflow, Pytorch, MLlib, Python, Scala, Java, MLFlow, Databricks, Spark, Kafka, and CPLEX.
Skills and Competencies
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science.
- Ability to context-switch and provide support to dispersed teams.
- Demonstrated ability to support technical projects within a team, often working under tight time constraints to deliver value.
- An "engineering" mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress, or magnify impact.
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews.
- Solid theoretical grounding in the mathematical core of the major ideas in data science.
- Good understanding or familiarity with a class of modeling or analytical techniques, often supported by Master's-level research in the subject.
Career Growth Opportunities and Learning Benefits
At FedEx Dataworks, we are committed to the growth and development of our team members. We offer a range of learning benefits, including:
- Training and development programs to enhance your skills and knowledge.
- Mentorship opportunities with experienced professionals.
- Access to cutting-edge technologies and tools.
- Opportunities for career advancement and growth.
Work Environment and Company Culture
FedEx Dataworks is a dynamic and innovative company, fostering a culture of collaboration, creativity, and continuous learning. We offer a flexible and remote work environment, allowing our team members to work from anywhere in the United States. Our company culture is built on the principles of:
- Innovation: We encourage experimentation and innovation, embracing new ideas and approaches.
- Collaboration: We work together as a team, sharing knowledge and expertise to achieve common goals.
- Diversity and Inclusion: We value diversity and inclusion, promoting a culture of respect and empathy.
- Continuous Learning: We prioritize learning and development, providing opportunities for growth and advancement.
Compensation, Perks, and Benefits
We offer a competitive salary range of $5,627 - $8,440 per year, depending on experience and qualifications. Our benefits package includes:
- Health, vision, and dental insurance.
- Retirement savings plan.
- Additional pay, premiums, or bonus potential.
Conclusion
If you are a motivated and talented individual looking to join a dynamic team and contribute to cutting-edge data science and machine learning projects, we encourage you to apply for this exciting opportunity. As a Data Scientist I at FedEx Dataworks, you will have the chance to work on complex business problems, develop innovative solutions, and grow your skills and knowledge in a supportive and collaborative environment.
Apply now and join our team!
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