Senior Data Scientist, Google Cloud Platform (GCP)

Job Description

Senior Data Scientist, Google Cloud Platform (GCP)

A Senior Data Scientist with experience in Google Cloud Platform (GCP) is responsible for leading complex data science projects, building and deploying advanced machine learning (ML) models, and leveraging GCP's ecosystem to drive strategic business decisions. This role requires expert technical skills, strong business acumen, and the ability to collaborate with and mentor other team members.

Responsibilities

• Lead and manage the entire data science project lifecycle, from problem definition to model deployment and monitoring.
• Design, develop, and implement advanced statistical and machine learning models to solve complex business problems, such as forecasting, classification, clustering, and optimization.
• Leverage expertise in advanced statistical techniques, including hypothesis testing, regression analysis, and causal inference.
• Architect and build scalable data pipelines and ML model workflows using GCP services such as BigQuery, Dataflow, Vertex AI, and Cloud Composer.
• Develop and manage data warehousing and data lake solutions on GCP, ensuring data quality, integrity, and security.
• Utilize and optimize GCP's machine learning services, including Vertex AI for model training and serving, and BigQuery ML.
• Partner with product managers, data engineers, and business stakeholders to translate ambiguous business needs into tractable data science problems and impactful solutions.
• Communicate complex analytical findings and model results clearly and effectively to both technical and non-technical audiences.
• Provide technical guidance and mentorship to junior data scientists and analysts.
• Advocate for and establish best practices in data science, including code quality, model validation, and responsible AI principles.

Qualifications

• A Master's degree or Ph.D. in a quantitative field such as Statistics, Mathematics, Data Science, Computer Science, or Engineering is often preferred.
• 5+ years of experience in a data science role, with proven experience building and deploying production-level models.
• Extensive, hands-on experience developing and implementing solutions on the Google Cloud Platform.
• Expert-level proficiency in Python and SQL.
• Experience with PySpark or other big data frameworks is a plus.
• Deep, practical experience with core GCP data and ML services, including BigQuery, Dataflow, Cloud Composer, Vertex AI, and Cloud Storage.
• Expertise in a wide range of ML techniques and algorithms, including regression, classification, clustering, and time series analysis.
• Proficiency in experimental design and analysis, such as A/B testing.
• Experience with data visualization tools like Looker, Tableau, or similar platforms.
• Understand Transformer-based models (GPT, LLaMA, Mistral, etc.), fine-tuning methods (LoRA/QLoRA, RLHF).
• Ability to design, optimize, and evaluate prompts for domain-specific use cases, familiarity with techniques like few-shot learning, chain-of-thought prompting, tool augmentation, and agent-based orchestration.
• Hands-on experience with embeddings, vector databases (FAISS, Pinecone, Chroma DB, Vertex AI Vector Search), retrieval-augmented generation (RAG), and integrating enterprise data sources into GenAI systems.

Nice-to-Have

• Google Cloud Professional Data Engineer or Machine Learning Engineer certification.
• Experience with other cloud platforms (e.g., AWS, Azure).
• Experience in a specific industry, such as retail, advertising, or finance.
• Familiarity with generative AI technologies.

Employee Type

Permanent

About UPS

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. In 1907, two teenage entrepreneurs in a Seattle basement started with a $100 loan and created what would become the world’s largest package delivery service. Today, operating in more than 220 countries and territories, UPS is committed to moving our world forward by delivering what matters. UPS and its more than 500,000 UPSers around the globe are a transportation and logistics leader, offering innovative solutions to customers, big and small. UPS understands and appreciates its responsibility to help build safe, stronger and more resilient communities founded on justice and economic opportunity for all, supported by a healthy, sustainable global environment.