Data Scientist

About the job

Job Summary The Data Scientist designs, develops, and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. Responsibilities • Define and integrate key data sources (internal UPS data and external datasets) to deliver predictive and generative AI models. • Develop and implement robust data pipelines for cleansing, transformation, and enrichment of large, multi-source datasets. • Collaborate with data engineering teams to validate and test data pipelines and models during proof-of-concept and production phases. • Perform exploratory data analysis (EDA) to identify trends, correlations, and actionable patterns that meet business needs. • Design and deploy generative AI solutions, integrating them into analytics and product development workflows. • Define and track model KPIs, ensuring ongoing validation, testing, and retraining of models to align with business objectives. • Create reusable and scalable solutions through clear documentation, process flows, logs, and clean, well-commented code. • Communicate findings through concise reports, data visualizations, and storytelling to both technical and non-technical stakeholders. • Present operationalized insights and provide strategic recommendations to business and executive-level stakeholders. • Apply best practices in statistical modeling, machine learning, generative AI, distributed computing, cloud-based AI, and performance optimization for production deployment. • Leverage emerging tools, open-source frameworks, and cloud technologies (including Vertex AI, Databricks, and IBM WatsonX) to create predictive and prescriptive analytics solutions. Required Qualifications • Education: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Engineering, Operations Research, or related field). Master’s degree preferred. • Experience: Relevant experience – in applied data science, machine learning, generative AI, or advanced analytics. Senior – Min 5+ yrs of relevance experience Intermediate – Min 3+ yrs of relevance experience • Proven experience in building and launching moderate-to-large-scale analytics and AI projects into production. • Technical Skills: Proficiency in Python, R, and SQL for data preparation, querying, and model development. • Strong knowledge of supervised, unsupervised, and generative AI techniques such as regression, classification, clustering, causal inference, and large language models (LLMs). • Hands-on experience with GCP Vertex AI, IBM WatsonX, Databricks, or SageMaker, and frameworks like TensorFlow, PyTorch, and Keras. • Familiarity with data visualization tools (e.g., Tableau, Power BI, Shiny, D3) to communicate insights effectively. • Experience working with Linux/Unix and Windows environments. • Familiarity with Java or C++ is a plus.

Requirements

• Python
• R
• SQL
• Machine Learning
• Data Visualization

Qualifications

• Bachelor’s degree in a quantitative discipline
• Master’s degree preferred

Preferred Technologies

• Python
• R
• SQL
• Machine Learning
• Data Visualization

About the company

UPS is a Fortune Global 500 organization focused on innovative possibilities and employee development. They emphasize a rewarding culture and value individuals with skill and passion.