Data Scientist 3
DCCA
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Benefits offered by this job
Job summary
Qualifications
- Experience with AI/ML RMF SSP authorization.
- Experience with AI/ML services contract and configurations.
- Experience deploying robust machine learning solutions.
Responsibilities
- Full Stack Agile development of web-based enterprise solutions.
- Establish scalable processes for ML model deployments.
- Conduct analysis using state-of-the-art machine learning tools.
Skills
Education
Tools
Job description
DCCA is a veteran‑owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982.
We are proud to offer career growth opportunities and a competitive compensation and benefits package.
Candidate must have an active TS/SCI W/ POLYGRAPH.
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships.
- Full Stack Agile development of web‑based enterprise solutions utilizing Spring Boot, Microservices, Java17, React/Redux, HTML5, CSS3, SCSS, CSS frameworks, JavaScript/Typescript, JSON.
- Develop algorithms and conduct analysis using state‑of‑the‑art machine learning/artificial intelligence tools.
- Build and/or deploy AI algorithms especially in cloud environments.
- Establish scalable, efficient, and automated processes for large‑scale ML model deployments and integration.
- The ideal candidate shall possess a bachelor’s degree in Computer Science or Computer Engineering or other technical degree.
- Experience with AI/ML RMF SSP authorization.
- Experience with AI/ML services contract and configurations.
- Experience with AI/ML request security review.
- A security clearance or ability to obtain one is required. Candidates should have experience with large software systems and the full software development lifecycle.
- Involved with setting up the data pipeline, machine learning framework—from data discovery to model deployment—in a big data environment.
- Experience deploying robust machine learning.
- Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
- Strong troubleshooting, debugging and problem‑solving skills.
- Ability to quickly explore, evaluate and learn new technologies.
- Strong communication skills, verbal and written. Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels.
10 years of experience analyzing datasets and developing analytics, and 10 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
- Associate Engineer (CT7): Entry‑level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelor’s degree and 0–2+ years experience or equivalent.
- Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelor’s with 5+ years experience or equivalent.
- Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelor’s with 9+ years experience or equivalent; applies extensive expertise.
- Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelor’s with 14+ years experience or equivalent.
- Engineer Consultant (CT11): Senior consultant to top management typically with an advanced degree and 18+ years experience or bachelor’s with 20+ years experience or equivalent.
The proposed salary range for this position in Maryland is $75,000 to $210,000. Final salary will be determined based on various factors.
Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. Each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we’re here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA’s culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA’s benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people’s lives and solve today’s IT problems.
Equal Opportunity Employer including Disability/Vets.
Mid‑Senior level
Full‑time
Engineering and Information Technology
IT Services and IT Consulting
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