Data Scientist

We are working with a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets for the U.S. federal government. This organization is redefining ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects.

The Role

Conduct analysis of mission data applicable in multiple domains. Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems. Develop, maintain, and enhance complex and diverse software algorithms (e.g., processing-intensive analytics, novel process development, manipulation of large data sets). Create new tools and applications using a variety of software languages, frameworks, and libraries. Improve, support, and test an MLOps framework. Refine and enhance existing applications to better meet the customer's mission.

What You'll Need

Bachelor's degree and nine (9) years of relevant experience; or Master's and seven (7) years; or PhD and four (4) years; or additional four (4) years of experience accepted in lieu of a graduate degree. Relational database expertise in database storage, SQL queries, and primary/foreign keys. Demonstrated proficiency in programming languages such as Python, C/C++, Java, and/or JavaScript. Demonstrated on-the-job knowledge of providing data analytics solutions. Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation. Practical understanding in machine learning deployment with a focus on optimization.

What's On Offer

Opportunity to work on challenging projects supporting the U.S. federal government. Be part of an Advanced Analytics Team utilizing cutting-edge systems. Develop your skills in machine learning and data science.

Apply via Haystack today!