Description:

About FedEx ACC :

Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx ACC 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 ACC, we are making supply chains work smarter for everyone.

Job Summary :

Job Profile 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 ACC broad capabilities to use and deploy innovative tools in ACC 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 / Responsibilities :

We are seeking someone who has in depth understanding of both the business and technical problems ACC aims to solve.

To provide advice and guidance at regional/divisional level and effectively manage a team of professionals and/or subject matter experts.

Responsibilities may include interfacing with Corporate level management :

- People and Performance management : Recruits, develops, motivates and manages the team performance.

- Provides guidelines, support and coaching to ensure that team members have the competencies, capabilities and tools to consistently deliver individual and team objectives.

- Planning : To coordinates resources with team to ensure the identification and development of goals relating to business initiatives and activities within remit, and in alignment with divisional and corporate goals.

- Ensures all factors and risks are accounted for in team planning, leads team in communications of initiatives and activities to key stakeholders and secures commitment.

- Finalises and presents plans to senior management for approval.

- Supports teams inside and outside department in the preparation of more complex business initiatives, business cases or plans as required.

- 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.

- Supports department by conducting high quality analysis, issues recommendations and contributing to strategic planning, as required, within and across regions.

- Supports the development and communication of effective reports to key stakeholders, including executive/senior management.

- 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.

- Builds effective networks relationships within own team and with key stakeholders across the business in order to achieve optimal business outcomes.

- Maintains external alignments with customers, relevant subject matter experts (SMEs) or external bodies as required.

- Represents company in external organisations

- Codifying standard processes for future reuse in the form of accessible, reusable patterns, templates, and code bases.

Skills / Abilities :

- Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science

- Maintains and develops expert knowledge of relevant FedEx standards and external requirements (including Regional regulations), and managerial areas, including excellent understanding of the internal and external business environment.

- Builds team capabilities to provides expert advice on complex or unique issues, which often includes exploring new, dynamic or innovative business opportunities and solutions.

- 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

- 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.
, 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 :

1. SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworks

2. Python, Scala, R, C++, Java and other modern programming languages

3. MLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworks

4. CPLEX, Gurobi and other similar optimization modeling packages

- 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.

- 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

Minimum Qualifications :

Minimum Education :

- Masters Degree (or equivalent) in Computer Science, Operations Research, Statistics, Applied Mathematics or related quantitative discipline.

- Directly related PhD preferred.

Minimum Experience :

- Ten plus (10+) years of professional experience applying data science (e. , machine learning, artificial intelligence, statistical analysis), operations research (e. , 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