Data Scientist I and II (GCP & AI Engineer)

Federal Express Corporation is seeking early-career Data Scientists I and II to contribute to innovative solutions that deliver business value. The roles involve designing, building, and deploying analytics and machine learning solutions while collaborating with cross-functional teams to drive insights from big data.

What you'll do:

• Develop and implement predictive and descriptive analytics on structured and unstructured data, encompassing classification, regression, clustering, and hypothesis testing
• Clean, curate, and transform raw data from existing tables and systems using SQL and Python to prepare high-quality datasets for model training and evaluation
• Write efficient SQL queries and Python scripts to extract, manipulate, and explore data housed within BigQuery and Cloud Storage (GCS)
• Design and create intuitive dashboards and visualizations in Looker and Looker Studio to communicate metrics and insights clearly to team members and stakeholders
• Actively participate in code reviews, enforce version control (Git), and apply foundational CI/CD and MLOps practices (such as model tracking) for seamless deployment
• Explore Generative AI concepts and foundational models using Vertex AI Generative AI Studio to identify potential business use cases
• Collaborate with business partners to translate operational questions into analytical insights, while cultivating deep domain expertise in FedEx data systems and business operations
• Lead the complete lifecycle of analytics and ML projects, from problem definition and data discovery to feature engineering, model development, validation, deployment, and continuous monitoring
• Architect, develop, and productionize advanced predictive and prescriptive models (classification, regression, clustering, time series, optimization), effectively serving them via Vertex AI Pipelines and Endpoints
• Design, develop, and deploy practical Generative AI solutions (e.g., Retrieval-Augmented Generation/RAG architectures, prompt design) using Vertex AI Gen AI capabilities
• Design and implement robust feature stores and transformation logic to feed training and real-time inference workflows, ensuring model input consistency and drift mitigation
• Expertly design, build, and integrate RESTful APIs (e.g., FastAPI, Flask) for seamless model serving and microservice-based ML system integration

What they're looking for:

• Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Industrial Engineering, or a closely related quantitative field
• 0–3 years of relevant experience (internships, academic projects, or co-ops are highly valued)
• Strong communication skills, an innate eagerness to learn, and a proactive, collaborative problem-solving mindset
• Proficiency in SQL and Python
• Foundational knowledge of machine learning libraries (scikit-learn, XGBoost, TensorFlow, or PyTorch)
• Hands-on exposure to Google Cloud Platform (GCP), specifically BigQuery, Vertex AI, and Cloud Storage (GCS) for data retrieval and modeling
• Demonstrated ability to interact with and leverage RESTful APIs for consuming model inputs and integration
• Experience with at least one visualization tool (e.g., Looker, Looker Studio, Tableau) or Python plotting libraries (Matplotlib, Seaborn)
• Foundational understanding of Git, relational database concepts, and basic MLOps/DevOps workflows
• Expert proficiency in Python and SQL
• Extensive experience with leading ML frameworks (scikit-learn, XGBoost, TensorFlow, or PyTorch) and a proven track record of deploying them to production environments
• Hands-on experience developing solutions utilizing GenAI models (e.g., working with LLMs, prompt engineering, and utilizing Vertex AI Model Garden)

Benefits:

• This position is eligible for remote work
• However if you live within the 50 miles radius of a campus you will be required to work at a FedEx campus location several times per week