FedEx Group
Data Scientist - All Levels
FedEx Group, Memphis, Tennessee, us, 37544
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.Summary:Takes ownership and responsibility over major 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. Simultaneously works to keep Dataworks on the leading edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads 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. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross-functional teams.Job responsibilities:The Data Scientist plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling 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 will contribute to 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 lead 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 and large-scale deployments. 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.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: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.g., 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.g., 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:Data Scientist I : 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.
Data Scientist II : 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.
Data Scientist III : Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Three-Four (3-4) years’ work experience in Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred.), 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 tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive 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 providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Data Scientist Lead : Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Five to Seven (5-7) 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, statistical analysis, 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. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
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 $116,000 - $186,240Domicile 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 09/06/24.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 DataworksTalentAcquisition@corp.ds.fedex.com.
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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.Summary:Takes ownership and responsibility over major 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. Simultaneously works to keep Dataworks on the leading edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads 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. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross-functional teams.Job responsibilities:The Data Scientist plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling 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 will contribute to 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 lead 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 and large-scale deployments. 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.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: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.g., 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.g., 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:Data Scientist I : 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.
Data Scientist II : 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.
Data Scientist III : Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Three-Four (3-4) years’ work experience in Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred.), 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 tools and methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive 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 providing some level of leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.
Data Scientist Lead : Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Five to Seven (5-7) 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, statistical analysis, 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. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
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 $116,000 - $186,240Domicile 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 09/06/24.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 DataworksTalentAcquisition@corp.ds.fedex.com.
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