Helping our clients achieve their goals starts with attracting and obtaining top talent. We look for highly innovative and bright individuals; give them the tools they need, then give them the freedom to do what they do best. We empower our employees to make the best of their opportunities in a rewarding and challenging environment.
We have a passion for excellence. Our employees thrive on making a difference and generating results for our clients in a flexible environment that offers support and camaraderie. No matter where you are located, DPRA offers learning opportunities and a flexible work style to help our staff manage responsibilities and add balance to their lives.
Along with a flexible workplace, DPRA offers a Total Rewards program that provides its employees with not only a competitive salary but also covers a wide variety of benefits and programs! If you are looking for a challenging position in an innovative company, then this is the position for you.
Currently, DPRA is searching for an Intermediate Consulting Engineer in r4’s FISTA AI Center of Excellence (FACE) at FISTA Park in Lawton, Oklahoma. This full-time position will provide subject matter consulting, analysis and support of data operations and business practice issues related to the effective use of data implementation within Artificial Intelligence/Machine Learning (AI/ML) information systems.

Essential Job Duties and Functions:

• Identifies and documents problems traced to data, configuration and system output issues and recommends solutions.
• Utilizes industry best practices to analyze data sets to glean knowledge and insights to configure AI/ML models/solutions that match customers’ requirements.
• Creates SQL and Python scripts to retrieve and analyze data from data sources.
• Conducts necessary transformations so that data is structured ready for data analysts and data scientists.
• Reviews work products for correctness, adherence to the design concept and customer standards.
• Identify and documents problems traced to both original data pipeline issues, data staging environments, system outputs, and recommends solutions.
• Identify and triage deviations from specification and works with customer and engineering staff to resolution of the identified problem.
• Assists with configuration of AI/ML platform to support customer specifications.
• Works with development, subject matter experts and data scientist teams to ensure projects meet all requirements and schedules.
• Conducts user research to identify data and processing pain points and opportunities for improvement.

Basic Qualifications:

• Bachelor’s degree in computer science, mathematics, or a related technical discipline, or the equivalent combination of education, technical training, and work experience.
• Experience with writing Python, R, SQL and JavaScript code.
• Experience with data collections and analytic strategies and techniques.
• Proficiency in data preprocessing, cleaning and data engineering.
• Knowledge in one or more cloud computing platforms such as AWS, Azure or Google Cloud.
• Problem solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently with some supervision; a self-starter, with strong and consistent follow-through on initiatives.
• Ability to adapt to changing circumstances and strong oral, written and interpersonal communication skills.
• Must be a U.S. Citizen with an Active DoD SECRET clearance (preferred), or the ability to obtain and maintain a DoD SECRET clearance.

Preferred Qualifications:

• Experience working with multiple data sources
• Docker and/or Kubernetes Container Generation experience desirable
• Previous experience with AI/ML, structured and unstructured data, and data analytics desirable
• MS Office 365 skills, mainly MS Outlook, Excel, Word and PowerPoint, highly preferred
• Other relevant business/technical certifications

• Identifies and documents problems traced to data, configuration and system output issues and recommends solutions.
• Utilizes industry best practices to analyze data sets to glean knowledge and insights to configure AI/ML models/solutions that match customers’ requirements.
• Creates SQL and Python scripts to retrieve and analyze data from data sources.
• Conducts necessary transformations so that data is structured ready for data analysts and data scientists.
• Reviews work products for correctness, adherence to the design concept and customer standards.
• Identify and documents problems traced to both original data pipeline issues, data staging environments, system outputs, and recommends solutions.
• Identify and triage deviations from specification and works with customer and engineering staff to resolution of the identified problem.
• Assists with configuration of AI/ML platform to support customer specifications.
• Works with development, subject matter experts and data scientist teams to ensure projects meet all requirements and schedules.
• Conducts user research to identify data and processing pain points and opportunities for improvement