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: <ul><li>Exploring and harnessing data to define and solve true problems</li><li>Removing barriers between data sets to create new avenues of insight</li><li>Building and iterating on solutions that generate value</li><li>Acting as a change agent to advance curiosity and performance</li></ul> At FedEx Dataworks, we are making supply chains work smarter for everyone. The Data Scientist I plays a pivotal role, focused on supporting data science innovation within Dataworks, helping to define and build the Dataworks organization, and supporting more senior data scientists in 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 I 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 learn to work with large data sets and solve difficult analytical problems, often applying advanced methods. S/he will support 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 involved in code development and the support of small-scale deployments. Essential Functions: <ul><li>Understanding at a high-level both the business and technical problems Dataworks aims to solve</li><li>Exploring data and crafting models to answer core business problems that may not have a common blueprint</li><li>Supporting the invention of new approaches and algorithms for tackling data intensive problems</li><li>Helping the team scale up from "laptop-scale" to "cluster scale" problems by contributing to efforts to standardize and industrialize solutions</li><li>Delivering tangible value rapidly, collaborating with diverse teams of varying backgrounds and disciplines</li><li>Interacting with peer technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement</li><li>Following best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases</li></ul> Skills: <ul><li> Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science </li><li> Experience or familiarity with designing and deploying large scale technical solutions, which deliver tangible, ongoing value </li><li>Direct experience or familiarity with building and deploying production systems that implement modern, data scientific methods at scale </li><li>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 </li><li>Demonstrated ability to support technical projects within a team, often working under tight time constraints to deliver value </li><li>Use of agile and devops practices for project and software management including continuous integration and continuous delivery</li><li>Demonstrated expertise in working with some of the following common languages and tools:</li><li>SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core machine learning frameworks</li><li>Expertise in Python & SQL, along with other modern programming languages</li><li>MLFlow, Databricks, Spark, Kafka and other data tools and frameworks</li><li>Experience building PowerBI Dashboards that can efficiently handle large amounts of data without performance impacts</li><li>Strong problem-solving skills and a proactive approach to identifying and addressing business challenges</li><li>Ability to take initiative in exploring new methodologies and learning new tools to enhance data analysis capabilities</li></ul> DomicileInformation: 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. Minimum Education 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. Minimum Experience 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. 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 range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. 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: Pay: U.S. Pay Range: $5,627/month- $8,440/month Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 4/30/25 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 DataworksTalentAcquisition@corp.ds.fedex.com.

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: <ul><li>Exploring and harnessing data to define and solve true problems</li><li>Removing barriers between data sets to create new avenues of insight</li><li>Building and iterating on solutions that generate value</li><li>Acting as a change agent to advance curiosity and performance</li></ul> At FedEx Dataworks, we are making supply chains work smarter for everyone. Job Description: The Data Scientist III plays a pivotal role, focused on driving data science innovation within Dataworks, helping to define and build the Dataworks organization and leading 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 III 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 datasets and solve difficult analytical problems, applying advanced methods. S/he will drive 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. Essential Functions <ul><li>Exploring data and crafting models to answer core business problems that may not have a common blueprint</li><li>Driving the invention of new approaches and algorithms for tackling data intensive problems</li><li>Pioneering R&D efforts to rapidly understand and assimilate state of the art methods</li><li>Scaling up from "laptop-scale" to "cluster scale" problems by driving efforts to standardize and industrialize solutions</li><li>Championing best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases</li><li>Works with Engineering partners to develop dashboards for end users through production deployment processes</li></ul> Skills/Knowledge Considered a Plus <ul><li>Use of agile and devops practices for project and software management including continuous integration and continuous delivery</li><li>Demonstrated expertise in working with some of the following common languages and tools:</li><li>SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core machine learning frameworks</li><li>Python, Scala, Java and other modern programming languages</li><li>MLFlow, Databricks, Spark, Kafka and other data tools and frameworks</li><li>Experience building PowerBI Dashboards that can efficiently handle large amounts of data without performance impacts</li></ul> Key Responsibilities <ul><li>Understanding in depth both the business and technical problems Dataworks aims to solve</li><li>Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines and organizational backgrounds</li><li>Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement</li><li>Work hand in hand with business partners to develop tools that deliver value to the end users</li><li>Regularly lead demo sessions and presentations with senior leadership</li></ul> Key Skills: <ul><li>Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science</li><li>A track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value</li><li>Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale</li><li>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</li><li>Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value</li><li>An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact</li><li>Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews</li></ul> Preferred Qualifications: <ul><li>Strong OR/Optimization experience </li></ul> DomicileInformation: 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. Minimum Education Master's Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Minimum Experience 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 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 range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. 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: U.S. Pay Range: $111,680 - $167,520 Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 4/30/2025 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 DataworksTalentAcquisition@corp.ds.fedex.com.

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: <ul><li>Exploring and harnessing data to define and solve true problems </li><li>Removing barriers between data sets to create new avenues of insight </li><li>Building and iterating on solutions that generate value </li><li>Acting as a change agent to advance curiosity and performance </li></ul> At FedEx Dataworks, we are making supply chains work smarter for everyone. Company Name: FedEx Dataworks, Inc. Job Title: Data Scientist Lead Location: 3630 Hacks Cross Road, Building C, 3rd Floor, Memphis, TN 38125 Job Description: 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 Lead 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. Qualifications: Ph.D. in computer science, operations research, statistics, applied mathematics or related quantitative discipline plus 2 years of experience in the job offered or 2 years of 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. The employer will alternatively accept a Master's Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline plus 5 years of experience in the job offered or 5 years of 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 OR Bachelor's Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline plus 7 years of experience in the job offered or 7 years of 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 in lieu of a Ph.D. plus 2 years of experience. The position requires experience with: Python or PySpark; Java or C++; SQL; Data visualization skills; Software development platforms (Visual Studio, or Databricks, or Jupyter Notebook); Optimization solvers (Gurobi or Cplex or Fico Xpress). 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. A related advanced degree may offset the experience requirements. Position can telecommute from home from any location in the U.S. The employer would accept one (1) year of directly related experience in lieu of one (1) year of education. 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.

Data Scientist Fedex Dataworks Jobs

Data Scientist I
April 24, 2025

Data Scientist Iii
April 24, 2025

Data Scientist Lead
April 5, 2025

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Data Scientist Fedex Dataworks Jobs

Data Scientist IApril 24, 2025

Data Scientist IiiApril 24, 2025

Data Scientist LeadApril 5, 2025

Quick filters

Top companies

Data Scientist I
April 24, 2025

Data Scientist Iii
April 24, 2025

Data Scientist Lead
April 5, 2025