AI Data Scientist – Enterprise AI

Location: Spring, Texas, United States of America

Salary: $130,700–$205,200 USD annually, plus potential bonus and/or equity for candidates in the United States.

Company

hirify.global develops software and technology solutions, including applied AI capabilities for enterprise operations.

What you will do

• Design, develop, and deploy AI-powered solutions using large language models, generative AI, machine learning, and predictive analytics.
• Build data pipelines, feature engineering approaches, and analytical workflows for AI solution development.
• Research AI methods, tools, and frameworks and assess their applicability to enterprise operations problems.
• Design experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
• Analyze large-scale structured and semi-structured datasets to generate insights and build predictive models.
• Collaborate with engineers, data scientists, product owners, business leaders, and distributed technology teams.

Requirements

• 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.
• Experience analyzing large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies.
• Ability to collaborate in culturally diverse and distributed teams.

Nice to have

• 5+ years of industry experience developing AI, machine learning, and data science solutions.
• Experience with Azure, AWS, or GCP, as well as version control and AI-assisted development tools.
• Experience with retrieval-augmented generation, prompt engineering, AI agents, MLOps, model monitoring, observability, or enterprise AI governance.
• Experience communicating technical concepts to business stakeholders in highly collaborative, matrixed organizations.

Culture & Benefits

• Cross-functional collaboration across research, engineering, analytics, product, and business teams.
• Health, dental, and vision insurance.
• Short- and long-term disability, life insurance, employee assistance, and flexible spending accounts.
• Paid parental leave of 4–12 weeks based on tenure, 11 paid holidays, vacation, and sick leave.
• No travel is required for the role.