FedEx Dataworks · 13 hours ago
Data Scientist I
Memphis, TN
Full-time
Remote
Entry Level
$5,627/mo - $8,440/mo
1+ years exp
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Responsibilities
The Data Scientist I plays a pivotal role, focused on 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.
S/he acts as a 'universal translator' between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams.
The Data Scientist I will contribute to the adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets.
S/he will learn to work with large data sets and solve difficult analytical problems, often applying advanced methods.
S/he will 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.
Day-to-day, s/he will be involved in code development and the support of small-scale deployments.
Understanding at a high-level both the business and technical problems Dataworks aims to solve
Exploring data and crafting models to answer core business problems that may not have a common blueprint
Supporting the invention of new approaches and algorithms for tackling data intensive problems
Helping the team scale up from 'laptop-scale' to 'cluster scale' problems by contributing to efforts to standardize and industrialize solutions
Delivering tangible value rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Interacting with peer technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement
Following best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases.
Qualification
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Required
Bachelors Degree with at least One year experience or Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline.
Strong knowledge in advanced data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale.
Strong knowledge and experience in conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis, and presentations.
Strong understanding of the transportation industry, competitors, and evolving technologies.
Experience as a member of multi-functional project teams.
Strong oral and written communication skills.
Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science.
Experience or familiarity with designing and deploying large scale technical solutions, which deliver tangible, ongoing value.
Direct experience or familiarity with building and deploying production systems that implement modern, data scientific methods at scale.
Ability to context-switch, to provide support to dispersed teams which may need an 'expert hacker' to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined.
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 modelling or analytical techniques, often supported by Masters-level research in the subject.
Familiarity with the mathematical 'primitives' and generalizations of data science – e.g., expertise in Linear Algebra, and Vector Calculus.
Use of agile and devops practices for project and software management including continuous integration and continuous delivery.
General knowledge or familiarity with some of the following common languages and tools: SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core machine learning frameworks, Python, Scala, Java and other modern programming languages, MLFlow, Databricks, Spark, Kafka and other data tools and frameworks, CPLEX, Gurobi and other similar optimization modeling packages.
Benefits
Health, vision and dental insurance
Retirement
Tuition reimbursement
Company
FedEx Dataworks
Please follow the official FedEx LinkedIn Company Page for updates, product and service information, operating company news and regular content: https://www.linkedin.com/company/fedex/.
201-500 employees
H1B Sponsorship
FedEx Dataworks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (35)
2022 (60)
Funding
Current Stage
Growth StageLeadership Team
Jeff Hurlbut
CFO FedEx Dataworks
Aria Bai
Partner Marketing Manager
Company data provided by crunchbase
