Data Scientist II @ FedEx Dataworks | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Data Scientist II jobs in United States
Be an early applicantLess than 25 applicants
company-logo

FedEx Dataworks · 3 hours ago

Data Scientist II

ftfMaximize your interview chances
IT Services and IT Consulting
check
H1B Sponsor Likelynote

Insider Connection @FedEx Dataworks

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Understanding in depth 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
Contributing to the invention of new approaches and algorithms for tackling data intensive problems
Pioneering R&D efforts to rapidly understand and assimilate state of the art methods
Scaling up from “laptop-scale” to “cluster scale” problems by contributing to efforts to standardize and industrialize solutions
Delivering tangible value very 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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data scienceMachine learningPythonStatistical analysisArtificial intelligenceOptimization techniquesLarge scale solutionsAgile practicesDevOps practicesSKLearnXGBoostTensorflowPytorchMLlibMathematical modelingLinear ProgrammingInteger ProgrammingScalaJavaMLFlowDatabricksSparkKafkaCPLEXGurobiLinear AlgebraVector CalculusVersion control systemsCode reviews

Required

Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
Strong knowledge of optimization techniques such as Linear Programming and Integer Programming
Experience with designing and deploying large scale technical solutions, which deliver tangible, ongoing value
Direct experience having built and deployed robust, complex 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 deliver technical projects with 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 of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subject
Experience 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
Demonstrated expertise in working 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
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline
Two (2) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience
Knowledge and general awareness of data science and machine learning tools and methods, including the iterative development of analysis pipelines to provide insights at scale
Familiarity with conducting end-to end analyses, including data gathering and requirements specification, processing, analysis, and presentations
General understanding of the transportation industry, competitors, and evolving technologies
Experience as a member of multi-functional project teams
Strong oral and written communication skills

Benefits

Health, vision and dental insurance
Retirement
Tuition reimbursement

Company

FedEx Dataworks

twitter
company-logo
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/.

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 Stage

Leadership Team

leader-logo
Jeff Hurlbut
CFO FedEx Dataworks
linkedin
leader-logo
Aria Bai
Partner Marketing Manager
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot