Staff Data Scientist

Teradata Corporation (SE); United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Teradata Corporation (SE) is seeking a senior analytics and AI engineer to advance AI-enabled analytics across enterprise data. You will design automated reporting, build AI narratives, and collaborate with cross-functional teams to accelerate decision-making.

The role emphasizes SQL proficiency, Python development, and secure data architecture, with an opportunity to shape AI-driven analytics across Sales, Marketing, Product, and Finance in a dynamic environment.

Qualifications

• Bachelor’s degree in computer science, mathematics, engineering, or another STEM field.
• 7+ years of experience in analytics, data science, business intelligence, analytics engineering, or related technical disciplines.
• Strong communication skills with the ability to influence stakeholders across both technical and business functions.
• Expert-level SQL skills and experience working with large-scale enterprise datasets.
• Experience developing solutions using Python or similar programming languages.
• Experience building AI-enabled analytics solutions using LLMs, generative AI platforms, prompt engineering, retrieval approaches, or related technologies.
• Strong understanding of data architecture, semantic models, governance, and security principles including row-level security (RLS).
• Experience integrating and consuming data through APIs and external platforms.
• Ability to translate business problems into scalable analytical and technical solutions.

Responsibilities

• Evaluate emerging AI technologies and recommend practical applications that improve business productivity, reporting, and decision-making.
• Lead the evolution of traditional BI solutions into AI-powered analytics experiences using LLMs and generative AI.
• Design and implement automated reporting solutions delivering insights via AI narratives, HTML reports, and conversational analytics.
• Partner with stakeholders to identify AI opportunities that accelerate decision-making and access to actionable insights.
• Collaborate with the data warehouse team to ensure data is accessible, accurate, and secure.
• Design and maintain scalable semantic data models and RLS frameworks for secure analytics access.
• Develop workflows using Python, APIs, and orchestration platforms (e.g., n8n) to move data between systems.
• Integrate enterprise data using Salesforce, data warehouses, and other platforms.
• Identify data quality gaps and source/enrich/validate information across systems.
• Frame complex business problems into analyses and actionable solutions.
• Drive analytics, AI, and data science initiatives with cross-functional teams across Sales, Marketing, Product, Finance, Operations.

Skills

Communication

Data analytics

SQL proficiency

Python

AI concepts

Stakeholder management

Data architecture

Security/governance

APIs integration

Education

Bachelor’s degree in CS/Math/Engineering

Tools

SQL

Python

APIs

n8n

Power Automate

REST APIs

Job description

Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

Who You’ll Work With

The individual will report to the manager of the Go To Market Insights and Analytics team. The individual will primarily support the Go To Market team but must work cross-functionally across Field Sales, Sales Ops, Marketing, Product Management, Finance, and others.

What You’ll Do

• Evaluate emerging AI technologies and recommend practical applications that improve business productivity, reporting, and decision-making

• Lead the evolution of traditional business intelligence solutions into AI-powered analytics experiences leveraging LLMs and generative AI technologies

• Design and implement automated reporting solutions that deliver insights through AI-generated narratives, HTML-based reporting experiences, and conversational analytics interfaces

• Partner with business stakeholders to identify opportunities where AI can accelerate decision-making and improve access to actionable insights

• Collaborate with the data warehouse team to ensure core business data is accessible, accurate, secure, and optimized

• Design and maintain scalable semantic data models and row-level security (RLS) frameworks that support secure access to analytics and AI applications

• Develop workflows and automation solutions using technologies such as Python, APIs, and orchestration platforms (e.g., n8n) to move data between enterprise systems

• Integrate and enrich enterprise data using systems such as Salesforce, data warehouses, and other operational platforms

• Identify gaps and quality issues within enterprise data and develop strategies to source, enrich, and validate information from multiple systems

• Frame and break down complex business problems into key components, design analyses, generate insights, and recommend practical solutions

• Drive strategic analytics, AI, and data science initiatives while partnering with cross-functional teams across Sales, Marketing, Product, Finance, and Operations

What Makes You a Qualified Candidate

• Bachelor’s degree in computer science, mathematics, engineering, or another STEM field

• 7+ years of experience in analytics, data science, business intelligence, analytics engineering, or related technical disciplines

• Strong communication skills with the ability to influence stakeholders across both technical and business functions

• Expert-level SQL skills and experience working with large-scale enterprise datasets

• Experience developing solutions using Python or similar programming languages

• Experience building AI-enabled analytics solutions using LLMs, generative AI platforms, prompt engineering, retrieval approaches, or related technologies

• Strong understanding of data architecture, semantic models, governance, and security principles including row-level security (RLS)

• Experience integrating and consuming data through APIs and external platforms

• Ability to translate business problems into scalable analytical and technical solutions

What You’ll Bring

• Experience building AI-powered business applications, automated reporting solutions, or LLM-enabled analytics experiences

• Experience with workflow automation platforms such as n8n, Power Automate, or similar orchestration technologies

• Experience developing applications, scripts, or data pipelines using Python or similar programming languages

• Working knowledge of HTML, JSON, REST APIs, and modern web technologies

• Experience integrating enterprise systems such as Salesforce, CRM platforms, marketing systems, and cloud data warehouses

• Experience identifying and resolving enterprise data quality, completeness, and governance challenges

• Experience with data science, statistical analysis, forecasting, machine learning, or advanced analytics projects

• Experience in the technology industry preferred

• Knowledge of modern AI architecture patterns including prompt engineering, retrieval augmented generation (RAG), vector search, and agent-based workflows preferred

• Understanding of enterprise security and governance requirements when deploying AI solutions

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Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.