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Form of workJob Summary:
Takes ownership and responsibility over major Data Science initiatives. Leads a team responsible for modeling and development to support operations initiatives, strategic programs and new products and solutions. Strong background and experience in the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical tools. Uses expertise to lead a team that initiates and delivers projects and develops end-to-end solutions that drive business results, including proofs-of-value for new business problems and production-ready solutions for operations and customer-facing products. Understands and ensures development of solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Advances Dataworks' broad capabilities to use and deploy cutting edge Data Science and machine learning tools in Dataworks projects, platforms and products. Applies knowledge of ML Ops, CI/CD processes and data engineering practices to ensure sustainable model development and provide recommendations on complex problems. Provides expert consultation and thought leadership to senior management. Mentors other team members to drive results and effectively collaborates with cross-functional teams to deliver business goals.
Job Description:
The Data Scientist Manager 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 Manager 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.
Essential Job Duties & Responsibilities:
Skills/Knowledge Considered a Plus:
Minimum Qualifications:
Master's Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) 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 with impact to executive audiences.
Domicile / Relocation 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 5 pm Central Time on Monday, May 1, 2023.
Additional Information
Colorado, Nevada, Connecticut, New York, California, Rhode Island and Washington Residents Only - Compensation: Monthly Salary: $11,440.00 - $14,300.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
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:
At FedEx Dataworks, we are making supply chains work smarter for everyone.
Employee Benefits: medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.
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.
Takes ownership and responsibility over major Data Science initiatives. Leads a team responsible for modeling and development to support operations initiatives, strategic programs and new products and solutions. Strong background and experience in the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical tools. Uses expertise to lead a team that initiates and delivers projects and develops end-to-end solutions that drive business results, including proofs-of-value for new business problems and production-ready solutions for operations and customer-facing products. Understands and ensures development of solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Advances Dataworks' broad capabilities to use and deploy cutting edge Data Science and machine learning tools in Dataworks projects, platforms and products. Applies knowledge of ML Ops, CI/CD processes and data engineering practices to ensure sustainable model development and provide recommendations on complex problems. Provides expert consultation and thought leadership to senior management. Mentors other team members to drive results and effectively collaborates with cross-functional teams to deliver business goals.
Job Description:
The Data Scientist Manager 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 Manager 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.
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 lack blueprints
- 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/Knowledge Considered a Plus:
- 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
- Managing a portfolio with competing interests and divergent stakeholders
- 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
- 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. Six (6) 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 with impact to executive audiences.
Domicile / Relocation 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 5 pm Central Time on Monday, May 1, 2023.
Additional Information
Colorado, Nevada, Connecticut, New York, California, Rhode Island and Washington Residents Only - Compensation: Monthly Salary: $11,440.00 - $14,300.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
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.
Employee Benefits: medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.
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.
