[Remote] Data Scientist Principal

Note: The job is a remote job and is open to candidates in USA. FedEx Dataworks is seeking a Data Scientist Principal to lead advanced analytics initiatives across the organization and design end-to-end machine learning solutions. This role involves mentoring data science teams, translating complex data into actionable insights, and driving innovation in data science and machine learning practices.ResponsibilitiesLead and own high-impact data science initiatives within the DW 2.0 data monetization scope and other initiatives as needed, from problem framing through deployment and monitoringApply advanced AI techniques (LLMs, reinforcement learning, graph ML, and optimization algorithms) to address complex, high-impact challenges across supply chain operations such as routing, inventory balancing, capacity planning, and risk mitigationArchitect and develop scalable machine learning models (e.g., predictive, prescriptive, NLP, computer vision) for productionLead rapid prototyping and iterative experimentation: leverage modern AI stacks (Azure OpenAI, Vertex AI, LangChain, vector databases) to design lean experiments, measure impact, and iterate quickly while avoiding dependency bottlenecksHandle pressure with poise, balancing urgent requests with long-term project goals and ensuring reliable outcomesBuild and operationalize end-to-end AI/ML systems, including LLM pipelines, prompt engineering strategies, fine-tuning, model evaluation, guardrails, and monitoring for performance, drift, and responsible AI compliance. Collaborate with engineering teams to integrate data pipelines, ensure model reliability, and optimize performanceDefine metrics and success criteria; perform rigorous statistical analysis, A/B testing, and AI model evaluation (hallucination detection, accuracy, latency, relevance) to validate system effectivenessTranslate business objectives into analytical approaches, interpret results, and present clear storytelling and data-driven recommendations to senior leadershipMentor and coach junior and mid-level data scientists; establish best practices in coding, model development, and documentationDrive innovation by researching and prototyping emerging techniques, tools, and frameworks in machine learning, deep learning, and AIPartner with legal, security, and data governance teams to ensure data usage adheres to privacy, security, and contractual obligations; develop compliant mechanisms to enable safe, fast experimentation (see recommended approaches below)Communicate results and recommendations clearly to senior leadership and cross-functional stakeholders; translate complex analyses into actionable business insightsCultivate deep domain expertise in FedEx data and tools, taking direction from senior team members and contributing to knowledge sharingCollaborate with business partners and subject matter experts to translate complex questions into clear analytical insights and present findings effectivelySkillsExtensive knowledge in advanced data science and machine learning methods, including the iterative development of analysis pipelines to provide insights at scaleStrong experience as a leader of multi-functional project teamsExcellent interpersonal skills and the ability to present and communicate effectively to executive audiences. A related advanced degree may offset the related experience requirementsProficiency in SQL, Python, and/or RFoundational knowledge of machine learning libraries (scikit-learn, XGBoost, TensorFlow, or PyTorch)Hands-on experience with Azure (e.g., Data Factory, Synapse, Databricks, Blob Storage) and / or Google Cloud Platform (GCP) and its core analytics/ML services (BigQuery, Vertex AI, Dataflow, Pub/Sub)Demonstrated ability to leverage various APIs for data manipulation and integrationExperience with at least one data visualization tool or package (e.g., Tableau, Power BI, Spotfire, Shiny, Plotly, Matplotlib, Seaborn)Solid understanding of ETL concepts, relational databases (e.g., Teradata, Oracle), and working with large-scale datasetsProficiency with version control (git) and familiarity with MLOps/DevOps principles (CI/CD, model tracking, deployment workflows)Demonstrated superior analytical skills with diverse analytics, data types, and statistical software and applicationsOutstanding Interpersonal skills, written, and oral communication skillsProven Leadership skillsMaster's degree or equivalent in a quantitative discipline requiredProven expert and nine (9) years work experience in innovative measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analyticsProven background with enterprise AI solutions, agentic architectures, or scalable LLM platformsProficiency in Power BI for building interactive dashboards, reports, and data visualizationsExperience in your industry domain (e.g., finance, healthcare, e-commerce)Familiarity with MLOps practices and tools (MLflow, Kubeflow, Airflow)Prior experience leading cross-functional teams and managing stakeholder relationshipsPublications or contributions to open-source projects in machine learning or data scienceBenefitsThe Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.Company OverviewFedEx Dataworks turns the movement of goods into the movement of intelligence. It was founded in undefined, and is headquartered in , with a workforce of 201-500 employees. Its website is https://www.fedex.com/en-us/dataworks.html.