Data Scientist Advisor Dataworks at Fedex

Company: FedEx ServicesJob Title: Data Scientist Advisor - Dataworks - RemoteJob Requisition Number: RC487867Category: Decision Science & AnalyticsPay Type: ExemptLocations:Remote, Tennessee 38120United States
Colorado Residents Only – Compensation: Monthly Salary $8130.79 - $13480.12The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. This information is provided to applicants in accordance to the Colorado Equal Pay for Equal Work Act.
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 bleeding 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.The Data Scientist Advisor 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 Advisor 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 solveExploring data and crafting models to answer core business problems that may not have a common blueprintLeading the invention of new approaches and algorithms for tackling data intensive problemsPioneering R&D efforts to rapidly understand and assimilate state of the art methodsScaling up from “laptop-scale” to “cluster scale” problems by leading efforts to standardize and industrialize solutionsDelivering tangible value very rapidly, collaborating with diverse teams of varying disciplinesInteracting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvementCodifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Skill/Knowledge Considered a Plus:
Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational scienceA 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 scaleAbility to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacleDemonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver valueAn ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impactAbility 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 scienceExpert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subjectDeep fluency in the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector CalculusUse 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 frameworksPython, Scala, R, C++, Java and other modern programming languagesMLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworksCPLEX, Gurobi and other similar optimization modeling packagesCPLEX, 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 effectively 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.Relocation assistance may be available based on business need.
Application Criteria / Deadline:Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 pm Central Time, Thursday, March 10, 2022.
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.

Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.

FedEx. Where now meets next.
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FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021
Application Instructions/Deadline:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below.  If the date below is blank, there is no specified closing date for this requisition.03-11-2022

FedEx Services 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.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services 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 recruitmentsupport@fedex.com.