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• Monitor cybersecurity software used in environment.
• Investigate incoming alerts and escalate as necessary.
• Investigate suspicious email reports.
• Review incoming incident response hotline calls.
• Threat hunting within the environment to prevent security incidents.
• Perform vulnerability scans in environment. Research solutions to vulnerabilities and work alongside system owners and techs to remediate vulnerabilities.
• Create Threat Assessments to aid in evaluating risks posed by vulnerabilities or potential threats based on research of upcoming trends and intelligence feeds.
• Work with other CSOC team members to create and execute Security Awareness Training and Testing for the enterprise and FIT clients.
• Gather information as required to present in board reports.
• Assist with maintaining email filtering systems and release emails when deemed safe.
• Participate in CSOC team meetings.
• Assist with reviewing and remediating items found during audits, both internal and external.
• Develop and support cybersecurity environments for FIT CUSO clients.
• On-Call Rotation for after hour alerts/cybersecurity.
• Comply with Founders’ policies and procedures, as well as applicable laws, regulations, and statutes issued by federal agencies such as NCUA and FFIEC, including, but not limited to, GLBA and BSA. Employees have legal and regulatory obligations to respect and protect the privacy of information and its integrity and confidentiality.
• All other duties as assigned.

• Excellent communication, documentation skills, and the ability to understand and explain technical details to technical and non-technical audiences is required to be successful.
• Ability to effectively communicate on complex issues with a high level of effectiveness.
• The ability to work in a team, present a trustworthy image, and deal effectively with others is required.
• Must be a self-starter with the ability to manage multiple work assignments and priorities with urgent deadlines, maintain excellent service delivery, while working with a fast-paced team.
• Strong data analysis, research, analytical and testing skills.
• Able to work independently without significant supervision.
• Bachelor’s degree in computer science or a related field is preferred.
• ISACA Cybersecurity Fundamentals certification is required within 12 months.

• Paid Holidays
• Paid Time Off
• Family-oriented culture that values work/life balance
• Retirement Plan (401k with employer contributions + Pension Plan fully funded by FFCU)
• Comprehensive Health and Dental Insurance
• Life and Accidental Death & Dismemberment Insurance (at no cost to employee)
• Voluntary Supplemental Life Insurance coverage for employee, spouse, and children
• Health Care and Dependent Care Flexible spending accounts
• Long Term Care Plan
• Short-Term and Long-Term Disability Insurance
• Tuition reimbursement to assist with furthering education
• Certifications - Assistance with achieving and maintaining
• Fit Founders Wellness Program

Job Description:
We are seeking an experienced Data Science Architect to design, build, and scale advanced data science and machine learning solutions. This role will lead the architecture of data platforms, guide data science teams, and translate business needs into robust, scalable analytical systems.

Key Responsibilities:

• Design and oversee end-to-end data science and machine learning architectures

• Build scalable data pipelines, models, and analytics platforms

• Collaborate with business stakeholders to define data-driven solutions

• Lead and mentor data scientists, engineers, and analysts

• Ensure data quality, security, governance, and compliance

• Evaluate and implement modern tools, frameworks, and cloud technologies

• Drive best practices in model deployment, MLOps, and performance optimization

Required Skills & Qualifications:

• Strong expertise in data science, machine learning, and statistical modeling

• Proficiency in Python, R, SQL, and big data technologies

• Experience with cloud platforms (AWS, Azure, or GCP)

• Knowledge of data engineering, ETL pipelines, and MLOps

• Strong system design and architectural experience

• Excellent communication and leadership skills

Preferred Qualifications:

• Experience with AI/ML production systems

• Background in large-scale enterprise or high-growth environments

• Familiarity with deep learning, NLP, or advanced analytics

Why Join Us:

• Competitive salary up to $200K

• Opportunity to lead high-impact data initiatives

• Work with cutting-edge technologies

• Collaborative and innovative work culture

• Develop solutions spanning multiple subject areas, from NLP to Image and Video.
• Maintain awareness of state-of-the-art machine learning and techniques, methods and platforms, including commercial and open source.
• Implement, configure and test machine learning and deep learning libraries and platforms (e.g. fast.ai, TensorFlow, Keras, XGBoost, LightGBM).
• Test solutions on AWS using services such as SageMaker, EC2, and Snowball Edge.
• Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences.
• Contribute to visually-appealing, web-enabled prototype applications that illustrate relevant machine learning capabilities.

• A.A. and 13 years of in-depth relevant experience OR B.S. and 11 years of in-depth relevant experience OR M.S. and 9 years of in-depth relevant experience OR Phd and 7 years of in-depth relevant experience

• An active TS/SCI with polygraph clearance is required to start

• Design and implement autonomous agent systems with task reasoning, planning, and execution capabilities.
• Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.
• Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.
• Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.
• Optimize model infrastructure for low latency, high throughput, and reliable context handling.
• Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.
• Implement vector storage and retrieval systems for semantic search and efficient memory management.
• Build robust testing frameworks for agent behavior validation and continuous improvement.
• Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.

• Advanced degree in Computer Science or related fields.
• 3+ years of experience in ML engineering
• Strong background in NLP and transformer architectures
• Experience with production ML systems
• Experience building autonomous agent systems
• Research experience in LLM alignment or safety
• Contributions to open-source LLM/agent projects
• Publications in NLP/ML conferences

Overview:

A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.

Key Responsibilities:

• Analyze datasets and algorithms for bias, fairness, and representativeness.

• Design ethical frameworks for AI and data usage.

• Work with data scientists, engineers, and product teams to implement responsible AI practices.

• Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).

• Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.

• Educate stakeholders on data ethics principles.

Required Skills:

• Strong foundation in data science and machine learning.

• Understanding of ethical theory, philosophy, or AI ethics.

• Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).

• Ability to communicate complex ideas to non-technical stakeholders.

• Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).

About the job

• Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
• Designing experiments to measure the impact of new features on those metrics;
• Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
• Partnering with our machine learning teams for investigations and feature engineering; and
• Becoming an expert in our data analytics pipelines and core metrics

• Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
• 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
• Experience with experimental design, econometrics, and/or causal inference is a plus but not required

• Expert level skills at SQL (experience with dbt is a plus but not required)
• Expertise with Python, R, or a similar data science scripting language
• Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
• Experience with BI tools such as Looker, Tableau, Power BI, or similar

We are seeking an experienced AI/ML Governance & Security Specialist to design, implement, and manage governance frameworks, security controls, and compliance strategies for AI and Machine Learning systems. The ideal candidate will ensure that AI solutions are secure, ethical, compliant, and aligned with regulatory and organizational standards.

Key Responsibilities

• Develop and enforce AI/ML governance policies, standards, and best practices

• Ensure secure development, deployment, and operation of AI/ML models

• Identify and mitigate security risks related to AI systems, data pipelines, and models

• Implement data privacy, model security, and access control mechanisms

• Monitor AI systems for bias, fairness, explainability, and ethical compliance

• Conduct risk assessments and security audits for AI/ML platforms

• Ensure compliance with regulations such as GDPR, HIPAA, SOC 2, ISO 27001, and AI-related policies

• Collaborate with data scientists, engineers, legal, and compliance teams

• Establish incident response procedures for AI-related security threats

• Document governance frameworks, security controls, and compliance reports

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field

• Strong understanding of AI/ML models, pipelines, and data workflows

• Experience with AI security, model risk management, and governance frameworks

• Knowledge of data privacy, encryption, access control, and secure model deployment

• Familiarity with ethical AI principles, bias detection, and explainable AI (XAI)

• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools

• Understanding of regulatory and compliance requirements for AI systems

• Strong analytical, documentation, and communication skills

Preferred Qualifications

• Certifications in AI, cybersecurity, or governance (CISSP, CISM, AI Governance, ISO 27001)

• Experience with adversarial ML, model monitoring, and AI threat detection

• Knowledge of NIST AI Risk Management Framework or similar standards

• Experience in enterprise or regulated industry environments

Why Join Us?

• Work on cutting-edge AI and ML security initiatives

• Be part of a forward-thinking and innovative team

• Opportunity to shape responsible and secure AI practices

• Competitive salary and growth opportunities

• Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity.

• Partner with Product to develop insights to enhance their products, including customer behavior/usage studies or product diagnostic analyses which will be used to drive larger team’s decision strategy and project requirements

• Conduct deep dives to understand trends, generate, and present actionable insights. Create, enhance, and maintain monthly reporting for Acquisition Product performance tracking.

• Gather, sanitize, and preprocess extensive datasets from various sources, and perform exploratory data analysis.

• Implement appropriate ML algorithms – regression, classification etc. Experience in Coding, Supervised and Unsupervised

• Develop predictive modeling that will enable the right acquisition trends and customer retention and growing diverse representation.

• Proficiency with ML frameworks and libraries – Tensorflow, scikit etc.

• Develop and maintain dashboards, reports and visualizations to communicate key findings and insights to stakeholders to enable data-driven decision-making.

• Understanding of statistical and experimentation concepts such as distributions, regression, confidence, correlation, significance, P-value, T-tests, etc

• Experience with data visualization tools (Tableau, PowerBI, matplotlib, etc.), with strong ability to communicate complex findings

• Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering or related analytical field

• Proficiency in data manipulation and analysis using SQL, Python, R or the equivalent

• Demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information.

• Experience with SQL, Python, or other scripting languages.

• Experience with Excel, Power BI, or Tableau.

• Collaborate effectively and work closely within a coordinated team environment.

• Excellent written and verbal communication and comprehension skills.

• Quantitative and qualitative analytical skills with the ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

• Able to present results of analysis to non-technical audiences with experience in crafting presentations with effective data visualization.

• Strategic thought leadership and strong critical thinking and analytical skills.

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Overview

Responsibilities

• Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
• Provide well-written, concise, technical and non-technical reports in English
• Perform vulnerability assessments and provide findings with remediation actions
• Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
• Manage and deliver penetration testing project activities within strict deadlines
• Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
• Any other appropriate job duties in line with the associated skill and experience of the post holder

Skills and experience required

• Proven industry experience in application and infrastructure penetration testing
• Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
• Ability in preparing and launching social engineering campaigns (both phishing and vishing)
• Strong understanding of OWASP, PTES and other penetration testing methodologies
• Knowledge of how modern web apps are designed, developed and deployed across different platforms
• Ability to program or script in your preferred language
• Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
• Relevant security qualifications (such as OSCP, CEH, GPEN)
• Good knowledge and understanding of network and OS principles
• Good knowledge of various operating systems
• Good knowledge of virtualization

Nice to have

• Knowledge of assessing cloud and hybrid environments (AWS and Azure)
• Knowledge of assessing mobile applications (iOS/Android)
• Knowledge of assessing hardware and embedded IoT devices

Personal Attributes

• Excellent spoken and written communication skills with strong attention-to-detail and accuracy
• A passion for security and networks
• Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
• Self-motivation with a commitment to continued development
• Ability to work independently and as part of a team
• Influencing and negotiation skills with the ability to build relationships at all levels
• Willingness to learn

Benefits

• 25 days annual holiday plus 8 paid public holidays
• An additional day’s annual holiday for your birthday
• Pension/401k contribution
• Subsidized gym membership
• Frequent team events
• Private Healthcare (individual cover only)
• Learning Allowance Benefit
• Flexible working policy

Company Overview

• Lead the management of Microsoft Sentinel and Defender XDR products, including their integration with existing tools, utilizing them to elevate existing Security Operations
• Design and optimize SIEM (Security Information and Event Management) rules using FortiSIEM to enhance threat detection and streamline incident response activities
• Deploy and manage Endpoint Detection and Response (EDR) solutions, specifically FortiEDR, SentinelOne, and Defender for Endpoint to identify and mitigate endpoint threats effectively
• Design and implement automated security use cases and playbooks to accelerate incident response and remediation
• Assist in overseeing the implementation and management of API security measures, ensuring secure data transmission and compliance with industry-standard API security protocols
• Collaborate with clients to understand their reporting needs and requirements and customize reports accordingly
• Develop, maintain, and automate client-facing reports using our existing security tools. These reports should effectively articulate incident metrics and trends to both technical and non-technical audiences. This role also includes automating the upload of these reports to the ServiceNow client portal
• Create and maintain materials documenting our security processes, procedures, and technologies, along with the generation of automated reports for relevant stakeholders
• Provide expert guidance on alarm tuning and configuration tasks necessary for Security Service deployment to new and existing customers
• Take a proactive role in updating client Security presentations and discuss findings with our clients
• Perform comprehensive analysis of data from our SOC and SIEM to identify patterns, anomalies, and potential threats
• Design and implement client reports, dashboards, and metrics, and manage response runbooks and walkthrough documents
• Stay informed about the latest security events and techniques to enhance our operations and defense strategies
• Other duties as required

• Proven experience with Microsoft Sentinel and Defender XDR products
• Strong background in SIEM rule design and optimization
• Extensive experience in implementing and overseeing Endpoint Detection and Response (EDR) solutions
• Experience with SOAR tools and automated security response implementations
• Excellent communication skills for both technical and non-technical audiences
• Demonstrated understanding of cybersecurity threats and incident response procedures
• Knowledge of risk assessment tools, technologies, and methods
• Expertise in computer networking and security
• Passion for cybersecurity and continuous learning
• Must be able to work effectively in a team environment and collaborate within the team and with other stakeholders