Data Scientist

About the role

The role involves conducting analysis of mission data across various domains, designing, developing, and evaluating mathematical models, and creating new tools and applications.

Responsibilities

• 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.
• 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.

Requirements

• 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.

Qualifications

• Experience in systems engineering and integration for large, complex projects.
• Deep customer and domain knowledge to enable the delivery of technical, engineering, intelligence, and enterprise information technology solutions.

Skills

• Data analytics solutions.
• Machine learning deployment.
• Software development using Python, C/C++, Java, and JavaScript.
• Database management and SQL queries.
• Algorithm creation and engineering tools for data processing and modeling and simulation.

Benefits

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

Pay

Negotiable based on experience and qualifications.

Schedule

Full-time position.

Benefits

• Competitive compensation package.
• Incentive programs.
• Vacation, sick leave, and holidays.
• Potential for career advancement within the organization.

Application

Apply via Haystack today!