AI & Data Science Engineer

Manhattan Construction Group; Tulsa (OK); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Pension plan

Paid paternity leave

Job summary

A leading construction and engineering firm is looking for an AI & Data Science Engineer to enhance data-driven decision-making. This hybrid role includes responsibilities like developing machine learning models, building data pipelines, and creating dashboards using Power BI. Candidates should hold a relevant degree and have 2-5 years of experience in data science or AI/ML. Strong skills in Python and SQL are essential for success. This position offers a full-time contract with significant benefits, including medical insurance and a pension plan.

Qualifications

• Bachelor's or Master's degree in a relevant field or equivalent experience.
• 2–5+ years of experience in data science, AI/ML engineering, or related roles.
• Strong proficiency in Python and SQL.

Responsibilities

• Build and maintain ETL/ELT data pipelines using SQL, Python, and cloud data services.
• Work with SQL Server and Azure databases to ensure high-quality data.
• Create analytical datasets for dashboards and insights delivered through Power BI.

Skills

Python

SQL

Data Modeling

Machine Learning Algorithms

Statistical Methods

Collaboration

Analytical & Problem-Solving

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or related field

Tools

Azure Machine Learning

Power BI

SQL Server

Azure

Job description

Talent Acquisition Recruiter at Manhattan Construction Group

About the Role

We are seeking an AI & Data Science Engineer to help build and operationalize the next generation of data, analytics, and AI capabilities within our organization. This hybrid role blends data science, AI engineering, and data engineering within a primarily Microsoft-centric environment.

The successful candidate will design machine learning models, build data pipelines, implement AI solutions, and deploy production‑ready analytics that support strategic business decision‑making.

Responsibilities

• Build and maintain ETL/ELT data pipelines using SQL, Python, and cloud data services.
• Work with SQL Server, Azure databases, and data warehouses to ensure high quality data for analytics and AI.
• Create analytical datasets for dashboards and insights delivered through Power BI.
• Translate complex model outputs into clear business insights and recommendations.

Data Science & Machine Learning

• Develop and validate predictive models.
• Perform data exploration and statistical analysis across structured and unstructured data.
• Apply responsible AI practices, including model explainability and performance monitoring.
• Develop AI‑driven applications such as chatbots, copilots, recommendation systems, or natural language interfaces.
• Integrate AI models with business applications through APIs, automation tools, or custom services.
• Deploy models into production using Azure‑based workflows, CI/CD pipelines, or containerized services.
• Implement model monitoring, retraining, and version management.
• Collaborate with IT and development teams to ensure scalability, security, and maintainability of deployed solutions.

Collaboration & Business Partnership

• Work closely with business leaders to identify high‑value opportunities for AI and advanced analytics.
• Communicate technical concepts in a clear, actionable manner to both technical and non‑technical audiences.
• Help establish standards, documentation, and reusable frameworks for AI and analytics initiatives.

Qualifications

Required

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or related field; or equivalent experience.
• 2–5+ years of experience in data science, AI/ML engineering, or related data‑driven roles.
• Strong proficiency in Python and SQL.
• Experience developing and deploying models using Azure Machine Learning or similar cloud platforms.
• Experience with Power BI or another enterprise BI tool.
• Strong understanding of data modeling, machine learning algorithms, and statistical methods.
• Experience working with Microsoft Azure or other cloud ecosystems.

Preferred

• Experience integrating or fine‑tuning models using Azure OpenAI Service or other large language model platforms.
• Familiarity with model deployment tools and techniques (e.g., CI/CD pipelines, automated retraining).
• Experience building APIs or microservices to expose machine learning models.
• Knowledge of modern data lake, warehouse, or data platform concepts.
• Strong analytical and problem‑solving abilities.
• Excellent written and verbal communication skills.
• Ability to work collaboratively across IT and business teams. Curiosity, innovation mindset, and willingness to stay current with emerging AI technologies.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability or protected veteran status.

Seniority level

Associate

Employment type

Full‑time

Job function

Information Technology and Research

Industries

Construction, Engineering Services, and IT System Training and Support

Inferred from the description for this job Medical insurance

Vision insurance

401(k)

Paid maternity leave

Pension plan

Paid paternity leave