Part Time Data Scientist – Statistical Modeling, Machine Learning & AI Security Analysis @ arenaflex – Remote Position – $25/Hour

About arenaflex

At arenaflex, we believe that the future of digital security depends on the power of data, the sophistication of artificial intelligence, and the brilliance of people who refuse to accept the status quo. As a forward-thinking organization operating at the intersection of cybersecurity, cloud infrastructure, and advanced machine learning, arenaflex is committed to protecting millions of users and organizations around the world from an ever-evolving landscape of cyber threats. Our work isn't just a job — it's a mission. Every day, our teams of engineers, researchers, and data scientists collaborate across disciplines to build intelligent systems that detect, analyze, and neutralize threats before they cause harm.

The arenaflex Security Reaction Center (SRC) team represents one of the most critical pillars of our cybersecurity infrastructure. Combining decades of cumulative expertise in threat detection, statistical analysis, and machine learning, the SRC team is responsible for safeguarding the arenaflex Cloud ecosystem against both known and emerging cyberattacks. To support this ambitious mission, we are seeking a highly motivated and technically rigorous Part Time Data Scientist to join our ranks. If you are passionate about the possibilities of data science, driven by the urgency of cybersecurity, and inspired by the challenge of applying cutting-edge AI to protect millions — this is your opportunity to make a genuinely meaningful impact at arenaflex.

Job Overview

As a Part Time Data Scientist within the arenaflex Security Reaction Center team, you will play a pivotal role in designing, building, and deploying statistical, machine learning, and artificial intelligence models specifically engineered to detect and prevent cyberattacks targeting the arenaflex Cloud. This is a remote position offering $25 per hour with a commitment of approximately 8 hours per week, making it ideal for professionals seeking a flexible yet impactful part-time engagement alongside other commitments, or those looking to contribute specialized expertise to one of the world's most critical cybersecurity challenges.

In this role, you will collaborate closely with world-class security experts, fellow data scientists, ML engineers, and business stakeholders across arenaflex. You will have access to state-of-the-art tools and technologies, including arenaflex's own AI platform, big data infrastructure, and cloud-scale processing environments. Your work will directly influence the security posture of the arenaflex Cloud and contribute to the safety of countless organizations and individuals who depend on arenaflex services every day.

Key Responsibilities

Security Model Development & Deployment

• Design, develop, and deploy statistical, machine learning, and AI-based security models tailored for online threat protection, intrusion detection, and anomaly identification — ensuring all models are production-ready, scalable, and aligned with business and security objectives.
• Apply advanced ML techniques — including supervised learning, unsupervised learning, deep learning architectures (RNNs, LSTMs), time series forecasting (ARIMA), clustering methods (k-means), gradient boosting, and natural language processing — to identify patterns and signatures of malicious behavior across massive datasets.
• Conduct rigorous hypothesis testing and controlled experiments using statistical methodologies to validate model efficacy before and after deployment, communicating findings clearly to both technical and non-technical stakeholders.
• Write and maintain production-quality scripts and code in Python, R, T-SQL, U-SQL, and KQL, following best practices for readability, extensibility, documentation, and version control.
• Partner with data engineering teams to operationalize models at scale, overseeing model monitoring, performance tracking, continuous integration/continuous deployment (CI/CD) pipelines, and long-term maintenance in live production environments.

Data Analysis & Insight Generation

• Perform deep data analysis on large-scale, multi-source datasets — encompassing both structured and unstructured data — to uncover actionable security insights, threat indicators, and anomalous patterns.
• Ensure data integrity, cleanliness, and privacy compliance throughout the modeling lifecycle, implementing robust quality assurance measures and data governance frameworks.
• Develop a deep understanding of the business and security context surrounding each project, translating complex business strategy briefings into concrete data science objectives and actionable model specifications.
• Define and implement feedback loops and evaluation methodologies to continuously measure how deployed models perform against business and security goals, iterating rapidly based on real-world performance data.

Threat Intelligence & Cross-Functional Collaboration

• Work side by side with security threat intelligence experts at arenaflex to decode cyberattack tactics, techniques, and procedures (TTPs), then translate that knowledge into effective, targeted ML model features and detection frameworks.
• Engage with internal cross-functional partners — spanning sales, marketing, operations, and emerging data monetization teams — to identify how data-driven insights can unlock new value streams and business opportunities for arenaflex.
• Communicate complex statistical and machine learning concepts to non-technical audiences through compelling data visualizations, storytelling techniques, and executive-level presentations that drive decision-making and action.
• Mentor and coach less experienced data scientists and engineers on the team, sharing best practices in data analysis, model development, coding standards, and debugging techniques to elevate the overall capability of the team.

Research, Innovation & Thought Leadership

• Actively research and maintain up-to-date knowledge of emerging trends, technologies, and methodologies in the fields of AI, ML, cybersecurity, and big data — then apply those learnings to enhance arenaflex's threat detection capabilities.
• Contribute to arenaflex's intellectual capital by authoring white papers, technical blog posts, and internal training sessions that share knowledge across teams and advance the broader field of applied AI in cybersecurity.
• Collaborate with solution architects to provide guidance on model operationalization, ensuring that deployed solutions are seamlessly integrated with existing arenaflex technology stacks, products, and established architectural patterns.
• Champion and embody ethical AI principles, security standards, and bias awareness throughout all modeling and data science activities, ensuring that arenaflex's AI systems are fair, transparent, and responsible.

Technical Infrastructure & Engineering Excellence

• Leverage modern big data technologies and platforms — including the Hadoop ecosystem, Apache Spark, Delta Lake, MLflow, Docker containers, and REST API integrations — to build scalable, efficient data pipelines and model deployment frameworks.
• Produce detailed technical documentation for data pipelines, model architectures, and predictive solutions, ensuring knowledge transfer, reproducibility, and maintainability across teams.
• Apply formal modeling techniques — including dimensionality reduction, cross-validation, regularization strategies, feature encoding, ensemble methods, and activation function design — to optimize model performance, minimize overfitting, and ensure statistical and business relevance.
• Understand and mitigate risks related to data leakage, bias-variance tradeoffs, and logistical constraints in model design, ensuring that all production systems are robust, reliable, and secure.

Essential Qualifications

To succeed in this role at arenaflex, candidates must meet the following baseline requirements:

• Advanced Degree: A Master's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a closely related quantitative field — or — a Doctoral degree in one of the aforementioned disciplines. Equivalent practical experience may also be considered in lieu of formal degrees.
• Data Science Experience: A minimum of 2+ years of hands-on data science experience, demonstrated through work involving the management of both structured and unstructured data, the application of rigorous statistical methods, and the clear communication of analytical results.
• Programming Proficiency: At least 2+ years of programming experience in Python (preferred) or Scala, with the ability to write clean, efficient, and maintainable code for data processing, analysis, and machine learning tasks.
• Machine Learning Expertise: Strong practical knowledge of core ML algorithms and techniques, including linear and logistic regression, k-means clustering, gradient boosting methods, ARIMA time series modeling, RNNs, LSTMs, and associated deep learning architectures.
• Statistical Rigor: Deep understanding of statistical modeling concepts including dimensionality reduction, cross-validation, regularization, feature engineering, ensemble methods, and activation functions — and the judgment to apply the right approach to each unique problem.
• Data Handling at Scale: Experience working with large-scale datasets and familiarity with big data platforms including Hadoop, Apache Spark, Delta Lake, and related distributed computing frameworks.
• Communication Skills: Excellent verbal and written communication abilities, with a demonstrated capacity to explain complex technical and statistical concepts to diverse audiences, from engineers to executive stakeholders.
• Remote Work Readiness: Proven ability to work effectively and autonomously in a remote work environment, maintaining strong collaboration with distributed teams through clear communication and proactive engagement.

Preferred Qualifications

While not strictly required, the following qualifications will distinguish exceptional candidates:

• Experience specifically within the cybersecurity, threat intelligence, or information security domain, with an understanding of common attack vectors, security frameworks, and defensive strategies.
• Familiarity with arenaflex's technology ecosystem, including Azure AI, Cognitive Services, and Databricks — or equivalent experience with major cloud AI/ML platforms.
• Proficiency in query languages and data scripting including T-SQL, U-SQL, KQL, in addition to Python and R.
• Experience with MLOps tooling including MLflow, model versioning, CI/CD for ML pipelines, and containerized deployment using Docker.
• Knowledge of natural language processing (NLP), computer vision, or image recognition techniques and their application to security use cases.
• Experience using data visualization tools and storytelling techniques to influence stakeholders and drive organizational change.
• Published research, blog posts, conference presentations, or open-source contributions demonstrating thought leadership in applied ML or AI security.
• Experience mentoring or leading technical teams, and a track record of elevating the capabilities of peers and junior team members.

Core Skills & Competencies

Beyond technical qualifications, successful candidates at arenaflex embody a distinct set of professional competencies:

• Analytical Curiosity: A relentless drive to dig deeper into data, ask probing questions, and uncover insights that others might miss.
• Intellectual Versatility: Comfort operating across multiple domains — from hard-core mathematics and statistics to business strategy to cybersecurity — and translating fluently between them.
• Problem-Solving Agility: The ability to break down complex, ambiguous problems into tractable sub-problems and methodically solve them using data-driven approaches.
• Ethical Integrity: A principled approach to data and AI work, with a commitment to fairness, transparency, privacy, and responsible use of technology.
• Collaborative Mindset: Genuine enthusiasm for working as part of a diverse, cross-functional team — sharing knowledge, seeking input, and building on the strengths of others.
• Communication Excellence: The ability to craft and deliver compelling narratives around data, making technical findings accessible, persuasive, and actionable for any audience.
• Continuous Learning: An appetite for staying current with rapidly evolving technologies, methodologies, and threat landscapes — and a habit of sharing that knowledge with the broader team.
• Ownership & Accountability: A track record of taking end-to-end ownership of projects, from initial problem framing through model deployment and ongoing performance monitoring.

Why Join arenaflex?

arenaflex is more than just a workplace — it's a community of passionate technologists, researchers, and problem-solvers united by a common purpose: to make the digital world safer for everyone. When you join the arenaflex Security Reaction Center team, you gain access to a wealth of opportunities for professional growth, intellectual challenge, and meaningful impact:

• Cutting-Edge Technology: Work with some of the most sophisticated AI, ML, and cybersecurity tools and platforms in the industry, and contribute to solutions used at global scale.
• World-Class Colleagues: Learn from and collaborate with some of the brightest minds in data science, security research, and engineering — a team that will continuously push you to grow and excel.
• Flexible Remote Work: Enjoy the freedom and work-life balance of a fully remote position with a flexible 8-hour weekly schedule, designed to accommodate your personal and professional commitments.
• Competitive Compensation: Receive a $25 per hour rate that reflects the value arenaflex places on skilled data science professionals, alongside a comprehensive benefits package.
• Career Growth & Development: arenaflex invests heavily in the continuous learning and development of its people. Access internal training programs, external conference opportunities, certifications, mentorship relationships, and a culture that rewards curiosity and initiative.
• Meaningful Impact: Your work at arenaflex directly contributes to protecting the digital infrastructure that organizations and individuals around the world depend on every day — a mission with real-world consequences you can be proud of.
• Inclusive Culture: arenaflex is committed to fostering a diverse, equitable, and inclusive workplace where every voice is valued, every perspective matters, and everyone has the opportunity to thrive.
• Innovation-Friendly Environment: arenaflex encourages bold thinking and experimentation. Bring your ideas forward, propose new approaches, and help shape the future of AI-driven cybersecurity.

Work Environment & Culture at arenaflex

At arenaflex, we understand that great work comes from great teams — and great teams are built on trust, respect, and a shared sense of purpose. Our culture is intentionally designed to support both individual excellence and collective success. We operate as a distributed, remote-first organization, which means you'll be working alongside talented colleagues from diverse backgrounds and geographies, connected by technology and united by mission.

We believe in psychological safety — the freedom to ask questions, admit mistakes, challenge assumptions, and propose unconventional solutions without fear. We practice transparent communication, celebrate learning (including from failures), and actively recognize the contributions of every team member. Leadership at arenaflex is accessible, humble, and deeply invested in the growth and well-being of each person on the team.

Collaboration is the cornerstone of everything we do. Whether you're pair-programming with a fellow data scientist, brainstorming security model architectures with threat researchers, or presenting findings to senior stakeholders — you'll find arenaflex to be an environment where ideas are welcomed, expertise is respected, and the best solution always wins.

Compensation & Benefits Summary

• Hourly Rate: $25 per hour
• Employment Type: Part Time
• Weekly Commitment: Approximately 8 hours per week
• Work Model: Fully Remote
• Location Eligibility: Open to qualified candidates based in Massachusetts, USA, or other eligible remote work locations
• Industry: Private Sector – Cybersecurity & AI Technology
• Comprehensive benefits package including health, dental, and vision coverage options for eligible part-time employees
• Access to arenaflex's extensive professional development budget, learning platforms, and internal upskilling programs
• Generous paid time off and holiday schedule
• Eligibility for performance-based recognition and career advancement opportunities based on contribution and impact

Apply Now & Shape the Future of Cybersecurity at arenaflex

If you are driven by the challenge of applying data science and AI to one of the most consequential problems of our time — protecting the digital world from cyber threats — we want to hear from you. arenaflex is building the next generation of intelligent security systems, and we need talented, passionate, and curious data scientists like you to make it happen.

This part-time remote role offers a rare combination of intellectual depth, technical challenge, flexible scheduling, competitive compensation, and genuine global impact. Whether you're looking to contribute your expertise alongside other professional commitments, or seeking a pathway into the world of AI-powered cybersecurity at a globally respected organization — arenaflex is the place where your skills will be valued, your ideas will be heard, and your work will matter.

Don't let this opportunity pass you by. Take the next step in your data science journey and join the arenaflex team today.

Click here to apply now and begin your journey with arenaflex →

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Title: Part Time Data Scientist – Statistical Modeling, Machine Learning & AI Security Analysis @ arenaflex – Remote Position – $25/Hour