Job Information
Federal Express Corporation Data Scientist Principal in Memphis, Tennessee
About 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.
Job Summary:
Takes end-to-end ownership and responsibility over critical data science initiatives. 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 championing the design and build of reusable data science assets. Simultaneously works to keep Dataworks on the bleeding edge by disseminating the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads staff in modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. Combines knowledge of data scientific methods, CI/CD, statistics, and machine learning / data engineering practices to provide recommendations on the most organizationally critical and complex problems. Advises junior data scientists, managers, and those in less senior positions.
Job Description:
The Data Scientist Principal plays a pivotal role within Dataworks and provides dynamic leadership at the enterprise level. S/he is focused on fundamentally creating data science innovation within Dataworks, helping to define and build the Dataworks organization and overseeing 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 Principal Data Scientist will champion the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large data sets and solve difficult analytical problems, applying advanced methods. S/he will guide 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 deeply involved in code reviews, large-scale deployments and general oversight. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.
Essential Job Duties & 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
Skill/Knowledge Considered a Plus:
· 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
o Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
o 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
o Demonstrated ability to deliver technical projects within and across teams, often working under tight time constraints to deliver value
o An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
o 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
o Expert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subject
o 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:
o SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworks
o Python, Scala, Java and other modern programming languages
o MLFlow, Databricks, Spark, Kafka and other data tools and frameworks
· CPLEX, Gurobi and other similar optimization modeling packages
Minimum Qualifications:
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. A related advanced degree may offset the related experience requirements.
Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the salary information represents the job level minimum and the job level maximum. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.
Pay: Annual Range $128,000 - $192,000
Domicile Information:
This position can be domiciled anywhere in the United States. The ability to work remotely within the United States may be available based on business need.
Application Criteria:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 06/27/2024.
EEO information:
FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status. Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com
Minimum Education
Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline.
Minimum Experience
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. A related advanced degree may offset the related experience requirements.
Knowledge, Skills and Abilities
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
Preferred Qualifications:
Pay Transparency:
Pay:
Additional Details:
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.
Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com .