DATA SCIENTIST II

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.
Under general supervision, 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 supporting the design and build of reusable data science assets.
Simultaneously works to keep Dataworks on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems.
Applies descriptive, diagnostic, predictive, prescriptive and ensemble modeling, statistical techniques, and use of database tools and/or other approaches in quantitative analysis of complex business situations.
Provides recommendations to moderately complex issues through knowledge of data scientific methods and machine learning / data engineering practices.
Works in tandem with data scientists in peer positions.
The Data Scientist II plays a pivotal role, focused on delivering data science innovation within Dataworks, helping to define and build the Dataworks organization, and executing 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 II 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 work with large data sets and solve difficult analytical problems, applying advanced methods.
S/he will execute 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 development and medium-scale deployments.
Key Areas of Focus.
· 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 · Leading 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 leading efforts to standardize and industrialize solutions · Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines · Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement · Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases Skills/Abilities.
· You should have strong knowledge of optimization techniques such as Linear Programming and Integer Programming.
· Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science · A compelling track record of Data Science / Engineer expertise, designing and deploying large scale technical solutions, which deliver tangible, ongoing value · Direct experience having built and deployed robust, complex production systems through Cloud technologies 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 · 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 · Ability to work with distributed teams on code-based deliverables using version control · 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.
., expertise in Linear Algebra, and Vector Calculus · Use of agile and devops practices for project and software management including CI/CD; process improvement and quality management experience (e.
., Lean, Six Sigma, QDM expert) · Demonstrated expertise in working with some of the following common languages and tools.
· SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworks · Python, Scala, R, C++, Java and other modern programming languages · MLFlow, Databricks, Spark, Kafka, Hive, Hadoop 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.
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.
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 $ 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 .
EEO Statement 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 .
Minimum Education Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline.
Minimum Experience 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.
Knolwedge, Skills and Abilities Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science 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.
., 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 Preferred Qualifications.
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.
$ Additional Details.
FedEx Dataworks is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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 .