MANAGER, DATA SCIENCE

Job Description Summary Takes ownership and responsibility over major data science and operations research initiatives.
Directs 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 sophisticated descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and sophisticated mathematical tools.
Uses expertise to manage 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 / Architecture principles.
Advances Dataworks’ broad capabilities to use and deploy innovative 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 consultation and thought leadership to senior management.
Mentors other team members to get results and effectively collaborates with multi-functional teams to deliver business goals! Job Description The Data Scientist Manager will supply to the creation and alignment of technical standards for data science and machine learning, including the design and construction of reusable data assets.
They will work with large data sets and solve difficult analytical problems, applying advanced methods.
They will lead implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop practical insights and recommendations.
Day-to-day, they will be deeply involved in code reviews and large-scale deployments.
Essential Job Duties & Responsibilities.
We are seeking someone who has 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 taking on data intensive problems Pioneering R&D efforts to rapidly understand and assimilate innovative methods Scaling up from “laptop-scale” to “cluster scale” problems by leading efforts to standardize and modernize solutions Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create room to collaborate and find opportunities for improvement Codifying standard processes for future reuse in the form of accessible, reusable patterns, templates, and code bases Skills / Knowledge Considered a Plus.
Technical background in computer science, operations research, 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 significant technical obstacle Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value An ‘engineering’ mentality, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact Ability to work with distributed teams on code-based results using version control Solid theoretical grounding in the mathematical core of the major ideas in data science Sophisticated level of 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 authority) We are looking for 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 subject area.
Directly related PhD preferred.
Five to eight (5-8) 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, 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 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 April .
Additional Information Colorado, Nevada, Connecticut, New York, California, Rhode Island, Washington, Hawaii, Illinois and New Jersey Residents Only - Compensation.
Monthly Salary.
$.
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 .
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