Data Scientist III
Description
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:
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.
Job Description:
Takes ownership over select 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. Anchors current best practices by driving 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. Leads junior data scientists in modeling and development to support operations initiatives and strategic programs, through the use of descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and use of database tools and/or other approaches in mathematical analysis. Applies understanding of ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on complex problems. Provides guidance to less senior team members to drive results. Works
with cross-functional teams.
Desired Experience:
- Experience with Demand Management, Portfolio Management, Portfolio Governance functions and cross-Portfolio dependency management at large digital companies
- Experience training and coaching others in Agile roles
- Experience leading large-scale Agile transformation efforts
- Strong technical understanding to determine value, prioritization and/or critical problem-solving skills
- Proven experience in program management within a technical environment, ideally in areas such as eCommerce, software development, data science, cloud computing, etc.
- Exceptional communication and interpersonal skills, with the ability to effectively collaborate with team members at all levels of the organization.
- Ability to influence and build strong relationships across the organization
- Strong communication, and presentation skills, including the ability to clearly and openly communicate status, issues/risks, and challenges presented to project, as well as ability to create clear and concise presentations
- Solid understanding of learning and development principles, specifically applied in a technical context.
- Experience with work management tools and agile taxonomy and nomenclature
- Advanced problem-solving skills with the ability to work cross functionally to resolve issues and generate results among potentially conflicting parties
- Ability to effectively operate within a fast pace, dynamic, complex and matrix organization
Knowledge, Skills and Abilities:
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
- A track record of 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
- Strong understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subject
- 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 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.
- 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.
- 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.
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:
At least three-four (3-4) years of professional experience applying data science (e.g., machine learning, artificial intelligence, statistical analysis), operations research (e.g., optimization, algorithms, mathematical modeling), and data analytics to reduce costs, enhance profitability, and improve customer experience. An advanced degree in a related field may be considered in lieu of some experience.
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.
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. Annual Pay Range: $111,680 to $167,520
Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 PM EST Friday 8/1.
FedEx Dataworks is an Equal Opportunity Employer including, Vets/Disability.
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.
