AI Data Scientist – Enterprise AI

AI Data Scientist developing AI solutions to enhance enterprise operations through applied research and scalable solutions. Collaborating across teams to ensure responsible AI practices and impactful implementations.

Posted 7/14/2026full-timeSpring • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $130,700 - $205,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI-powered solutions using Large Language Models and machine learning techniques, with strong capabilities in data analysis and collaboration across diverse teams.

Highest-signal resume keywords

AI Solution DevelopmentMachine LearningPython ProgrammingModel EvaluationData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large Language ModelsGenerative AIPredictive AnalyticsData Pipeline DevelopmentFeature EngineeringSQLSparkDatabricksModel ValidationExperimentation Methodologies

Soft Skills

CollaborationCommunicationAnalytical Thinking

Industry Keywords

Artificial IntelligenceData ScienceComputer ScienceStatisticsEngineeringMathematics

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI technologies, machine learning, and predictive analytics.
Develop data pipelines, feature engineering approaches, and analytical workflows that support AI solution development.
Research new AI methods, tools, and frameworks and determine their applicability to business problems across enterprise operations.
Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making.
Translate business requirements into technical approaches and clearly communicate AI concepts to both technical and non-technical audiences.
Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement.
Collaborate with distributed teams of engineers, data scientists, product owners, business leaders, and other technology organizations to deliver impactful solutions.
Contribute to AI best practices, reusable frameworks, and technical standards across the organization.

Requirements

What you’ll need

Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field.
3+ years of experience developing AI, machine learning, and data science solutions.
Proficiency in Python and modern AI/ML libraries and frameworks.
Experience with model evaluation, experimentation, performance measurement, and validation methodologies.
Strong analytical skills with experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies.
Ability to collaborate effectively in culturally diverse and distributed teams.

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave