Senior Data Scientist – Python, R, SQL, EDA, GCP, Vertex AI, IBM Watsonx

Job description

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Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day.

We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion.

If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

**Job Description:**

**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.

This role partners with cross-functional teams to translate business challenges into data-driven solutions, leveraging industry-standard machine learning, generative AI, and data visualization tools to inform confident decision-making and drive innovative product creation.

The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including **GCP Vertex AI** and **IBM Watsonx** ) to design descriptive, predictive, and prescriptive solutions.

This position also fosters data literacy and promotes the adoption of AI and ML capabilities across UPS.

**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** :

+ **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.

**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.

**Professional Skills** :

+ 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 Experience**

+ 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.

**Employee Type:**

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Required Skill Profession

Other General