Benefits:

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Job title: SCA Data Scientist/Analyst (AI/Automations)

Level: Mid-Level

Location / Work type: Remote/Full-Time

Clearance: Must be able to get a public Trust

About the Company:

Imagineeer is leading the charge in data transformation, impacting sectors from healthcare to government operations, green energy, supply chain, and sports. Leveraging cutting-edge technologies like AI, post-quantum security, and blockchain, we empower decision-makers and fortify data security. We specialize in federal agency modernization; we collaborate closely to transform operational ecosystems, addressing unique challenges with acquisition support and stakeholder communication. Imagine Lab, our digital think tank, explores innovation through employee engagement and machine-generated insights. If you're passionate about reimagining operations and empowering organizations to evolve proactively, join us in shaping the future.

About this Role:

We are seeking an innovative and highly skilled Data Scientist/Analyst specializing in AI/Automation to support our Security Control Assessment (SCA) initiatives for federal government clients. This role combines data science expertise with cybersecurity knowledge to develop and implement AI-driven and automated solutions for security assessments.

The successful candidate will play a critical role in transforming traditional security assessment processes through advanced data analytics, machine learning, and automation technologies to enhance accuracy, efficiency, and decision-making in cybersecurity compliance.

Key Responsibilities:

Develop and deploy machine learning models to automate security control assessments and evaluations.
Create predictive analytics solutions to assess security risks and forecast potential vulnerabilities.
Design, build, and maintain data pipelines to collect, process, and analyze security assessment data from various sources.
Analyze security assessment data to identify trends, anomalies, and patterns that inform security posture.
Develop automated reporting solutions leveraging AI/ML to streamline compliance and security reporting.
Design and build visualization tools and dashboards for security assessment metrics, enabling stakeholders to make data-driven decisions.
Create and maintain statistical models to evaluate the effectiveness of security controls and compliance measures.
Implement natural language processing (NLP) techniques to automate analysis of security documentation, such as SSPs, POA&Ms, and SARs.
Develop algorithms for automated evidence collection, validation, and control compliance verification.
Support the creation and optimization of automated assessment tools, integrating with existing cybersecurity frameworks and toolsets.
Collaborate closely with cybersecurity engineers, architects, and compliance teams to enhance security assessment workflows.
Design and implement robust data collection methodologies aligned with security frameworks.
Provide actionable, data-driven insights to improve security decision-making and risk management.

Qualifications and Skills:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Cybersecurity, or a related field.
5+ years of professional experience in data science, analytics, or AI development.
3+ years of hands-on experience in designing and implementing AI/ML models and automation solutions.
Experience working with cybersecurity concepts, frameworks, and processes.
Familiarity with security assessment and compliance activities preferred.
Ability to obtain and maintain a Public Trust clearance.
Strong proficiency in programming languages such as Python, R, or equivalent.
Experience with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.
Expertise in statistical analysis, predictive modeling, and algorithm development.
Proficiency with data visualization tools such as Tableau, Power BI, or similar platforms.
Understanding of NIST security controls (e.g., NIST 800-53) and cybersecurity frameworks.
Proficiency with SQL and relational/non-relational database management.
Experience in data cleaning, data transformation, and data preparation pipelines.
Working knowledge of natural language processing (NLP) techniques for document analysis.
Strong analytical and problem-solving skills with attention to detail.
Familiarity with big data technologies (e.g., Hadoop, Spark) and data warehousing.
Excellent technical documentation and report-writing skills.
Solid understanding of cybersecurity concepts, risks, and control assessments.
Strong verbal and written communication skills with the ability to explain complex data concepts to technical and non-technical audiences.
Ability to work effectively both independently and in collaborative team environments.

Desired Skills and Competencies:

Security+, Certified Ethical Hacker (CEH), or other cybersecurity certifications.
Experience with federal security requirements, including RMF and FISMA compliance.
Knowledge of cloud security concepts (AWS, Azure, GCP) and FedRAMP compliance.
Familiarity with DevSecOps practices and integrating security into CI/CD pipelines.
Background in security compliance processes, control assessments, and audit preparation.
Experience with API development and integration for automated data exchange.
Proficiency with deep learning techniques and tools for advanced AI/ML applications.
Familiarity with security tools, such as vulnerability scanners (e.g., Nessus, Qualys), SIEMs (Splunk, ELK), or SOAR platforms.
Experience with automated reporting systems and document management tools (e.g., SharePoint, Confluence).
Understanding of privacy laws and requirements, including handling sensitive data.
Familiarity with agile methodologies and tools like JIRA or Azure DevOps.
Experience with version control systems, such as Git or GitHub.
Knowledge of continuous integration/continuous deployment (CI/CD) practices.

Additional Information:

This is a remote position, with regular virtual collaboration.

Must be a U.S. Citizen capable of obtaining a Public Trust clearance.

This is a remote position.

Compensation: $95,000.00 - $105,000.00 per year

About Us

Our Approach

We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.

We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.

Our Mission

Imagineeer's mission is to empower transformation through the operationalization of intuition. We establish an innovation pipeline, reimagining operations by delving into data analysis to optimize outcomes for our valued customers.

Collaborating closely with our clients, we strive to actualize the inherent genius embedded within their organizational structure. Our efforts focus on the transformation of organizations, emphasizing the development of foundational strengths in key areas, including data, personnel, hypothesis development, and the cultivation of a learning-from-failure mindset.

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