FedEx Dataworks · 2 days ago
Data Scientist Principal
Wonder how qualified you are to the job?
Maximize your interview chances
IT Services and IT Consulting
H1B SponsorshipActively Hiring
Insider Connection @FedEx Dataworks
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
Inventing 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 championing efforts to standardize and industrialize solutions
Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines
Interacting with leaders from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement
Advising 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.
Required
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline
Directly related PhD preferred
Eight (8) 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
Extensive knowledge in advanced data science and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale
Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis, and presentation
Refined understanding of the transportation industry, competitors, and evolving technologies
Strong experience providing leadership in a general planning or consulting setting
Strong experience as a leader of multi-functional project teams
Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences
Preferred
Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
A highly compelling track record of 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 within and across teams, 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
Expert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subject
Deep fluency in 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 most of the following common languages and tools: SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML 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 Insurance
Vision Insurance
Dental Insurance
Retirement Plan
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/.
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
Trends of Total Sponsorships
2023 (35)
2022 (60)
Funding
Current Stage
Growth StageCompany data provided by crunchbase