Data Scientist

Graham Technologies is seeking a highly skilled Data Scientist to support cleared federal customers in delivering advanced analytics, machine learning, and data-driven insights for mission-critical systems. This role supports classified and unclassified environments and offers an initial part-time engagement with the possibility of transitioning to full-time based on performance and funding.


Location: Work from home, preferably from the DC area


Key Responsibilities:

• ­ Apply statistical analysis, machine learning, and data science techniques to large, complex datasets in support of federal missions


• ­ Design, develop, and deploy predictive and prescriptive analytics models


• ­ Perform data exploration, feature engineering, and model validation


• ­ Develop data pipelines for ingesting, cleaning, transforming, and enriching structured and unstructured data


• ­ Collaborate with engineers, analysts, and mission stakeholders to translate operational needs into analytics solutions


• ­ Develop custom analytics and visualizations to communicate insights to technical and non-technical audiences


• ­ Support model deployment, monitoring, and lifecycle management in production environments


• ­ Ensure solutions comply with security, data governance, and compliance requirements


• ­ Document methodologies, assumptions, and results to support repeatability and accreditation

Required Skills:

• Active Q or TS Clearance


• 5+ years of professional experience in data science, analytics, or applied statistics


• Strong proficiency in Python and common data science libraries (NumPy, Pandas, SciPy, Scikit-learn)


• Experience developing SQL queries and working with relational databases


• Experience supporting IC or DoD customers


• Experience with big data platforms (Spark, Hadoop, EMR)


• Knowledge of data visualization tools (Tableau, Power BI, matplotlib, Plotly)


• Strong communication skills and ability to brief findings to cleared stakeholders

Desired Skills:

• Familiarity with AWS, Azure, or on-prem secure cloud environments


• Familiarity with DevOps practices and CI/CD pipelines


• Familiarity with security and compliance frameworks (NIST 800-53, RMF, FedRAMP)

Compensation:


At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.


Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.


Here are just a few highlights of what we offer:

• Four Weeks of Accrued PTO in the First Year


• Eleven Paid Federal Holidays


• Comprehensive Health, Dental, Vision, and Life Insurance


• 401(k) Plan with Annual Employer Contributions


• Flexible Schedules


• Reimbursements for Continued Education and Training

Why Graham Technologies?


Our core values define who we are:

• Value our Customers


• Care about our Employees


• Passionate about Innovation


• Believe in a Strong Work Ethic


• Rely on Teamwork


• Integrity Matters

Founded in 2007, GTECH is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.


We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.

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