UPS · 3 months ago
Senior Data Scientist – Python, R, SQL, EDA, GCP, Vertex AI, IBM Watsonx
IN - TDC 1 (IN110)
Full-time
Onsite
Senior Level
5+ years expUPS is a Fortune Global 500 organization focused on innovative possibilities and a rewarding culture. They are seeking a Senior Data Scientist to design and implement advanced analytics and generative AI models, translating business challenges into data-driven solutions while fostering data literacy across the company.
LogisticsMessagingTransportation
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
Qualification
Required
Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Engineering, Operations Research, or related field)
Minimum 5+ years of experience in applied data science, machine learning, generative AI, or advanced analytics
Proven experience in building and launching moderate-to-large-scale analytics and AI projects into production
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
Strong analytical skills with attention to detail and a rigorous problem-solving approach
Ability to translate complex business problems into high-level AI and analytics solutions
Excellent oral and written communication skills, with the ability to explain analytical and generative AI concepts to both technical and non-technical stakeholders
Strong storytelling skills to communicate data-driven insights in a clear, impactful way
Preferred
Expertise in cloud AI technologies (GCP, IBM WatsonX, AWS, Azure) and modern data pipelines
Demonstrated success in implementing generative AI (LLMs, text-to-image, summarization, conversational AI) for business use cases
Track record of curiosity and innovation, with the ability to explore complex datasets and generate actionable insights
Background in operations research or quantitative social science is a strong plus
Company
UPS
Operating in more than 200 countries and territories, we’re committed to moving our world forward by delivering what matters.
10001+ employees
H1B Sponsorship
UPS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2021 (5)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Innovate UK
2025-07-28Grant
1999-11-10IPO
Leadership Team
Brian Dykes
EVP & Chief Financial Officer at UPS
Joel Stenson
Senior Vice President Global Operations Technology / Enterprise Data & Analytics and Gen AI
Recent News
2026-01-18
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