Part-Time Remote Data Scientist – AI‑Driven Cybersecurity Analytics & Threat Detection at arenaflex – $25/hr

About arenaflex

arenaflex is a global leader in cloud services and intelligent security solutions, empowering millions of users worldwide to operate safely in an increasingly connected world. With a commitment to innovation, diversity, and ethical AI, arenaflex continuously pushes the boundaries of what is possible in data‑driven protection. Our mission is to safeguard digital assets, enable secure collaboration, and deliver peace of mind to enterprises, governments, and individuals alike. As a remote‑first organization, arenaflex offers flexible work arrangements, cutting‑edge technology stacks, and a collaborative culture that values curiosity, integrity, and continuous learning.

Role Overview

We are seeking a highly motivated Part‑Time Remote Data Scientist to join our Security Response Center team. In this role, you will apply advanced analytics, machine‑learning, and artificial‑intelligence techniques to detect, model, and mitigate emerging cyber‑threats across the arenaflex cloud ecosystem. You will work closely with security engineers, product managers, and research specialists to translate massive data sets into actionable insights that protect our customers from sophisticated attacks.

Key Responsibilities

• Design, develop, and deploy scalable ML and AI models that identify anomalous behavior, predict threat vectors, and automate response actions.
• Perform exploratory data analysis on large‑scale structured and unstructured data, uncovering hidden patterns and generating hypothesis‑driven insights.
• Collaborate with cross‑functional security experts to translate business requirements into data‑centric solutions that align with arenaflex’s risk‑management objectives.
• Build and maintain robust data pipelines using technologies such as Azure Data Lake, Databricks, and Apache Spark, ensuring data quality, integrity, and compliance.
• Develop and execute rigorous model validation experiments, employing techniques like cross‑validation, regularization, and performance monitoring to guarantee reliability.
• Document model architecture, training procedures, and evaluation metrics in clear, reproducible formats (Python, R, T‑SQL, KQL).
• Mentor junior engineers on best practices in data preprocessing, feature engineering, and model interpretability.
• Present findings and strategic recommendations to senior stakeholders, translating technical results into business impact narratives.
• Stay abreast of emerging cybersecurity trends, AI research breakthroughs, and industry regulations to continuously enhance arenaflex’s defensive posture.
• Contribute to internal knowledge bases, white papers, and community forums to foster a culture of shared learning and innovation.

Essential Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 2 years of hands‑on experience in data science, including data wrangling, statistical analysis, and model development.
• Proficiency in Python or Scala, with a strong command of libraries such as pandas, scikit‑learn, TensorFlow, PyTorch, or Spark ML.
• Experience working with large‑scale data platforms (e.g., Azure Synapse, Hadoop, Databricks) and query languages (T‑SQL, KQL, U‑SQL).
• Solid understanding of machine‑learning algorithms (regression, classification, clustering, time‑series forecasting, deep learning architectures such as RNN, LSTM, CNN).
• Demonstrated ability to translate business problems into analytical solutions and communicate results to non‑technical audiences.
• Strong problem‑solving mindset, curiosity, and a passion for staying current with cybersecurity and AI advancements.

Preferred Qualifications

• Master’s or Ph.D. in a quantitative discipline with a focus on AI, cybersecurity analytics, or related research.
• Hands‑on experience with security‑focused data sets, threat intelligence feeds, and incident‑response workflows.
• Familiarity with cloud security services (e.g., Azure Sentinel, Azure Security Center) and their integration into ML pipelines.
• Knowledge of statistical testing frameworks, A/B testing, and experimental design for model evaluation.
• Experience with containerization (Docker), CI/CD pipelines (Azure DevOps, GitHub Actions), and model‑serving platforms (MLflow, Azure ML).
• Published research or contributions to open‑source projects in the fields of AI, data engineering, or cybersecurity.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex data problems, formulate hypotheses, and iterate quickly.
• Technical Proficiency: Mastery of programming languages (Python/Scala), data‑query tools, and cloud‑native services.
• Communication: Clear articulation of technical concepts to executives, product owners, and cross‑functional teams.
• Collaboration: Proven track record of working in multidisciplinary, remote environments with diverse stakeholders.
• Ethical AI Awareness: Understanding of bias mitigation, privacy considerations, and responsible AI deployment.
• Adaptability: Comfort with fast‑paced, evolving security landscapes and the ability to pivot priorities as threats emerge.

Career Development & Learning Opportunities

arenaflex invests heavily in employee growth. As a part‑time data scientist, you will have access to:

• Mentorship programs pairing you with senior security researchers and AI architects.
• Annual learning stipend for certifications, conferences, or advanced coursework (e.g., Certified Information Systems Security Professional, TensorFlow Developer Certificate).
• Internal hackathons focused on AI for security, providing a sandbox to experiment with novel ideas.
• Opportunities to publish research internally and externally, enhancing your professional profile.
• Clear pathways to transition into full‑time roles, lead security analytics teams, or specialize in emerging domains such as quantum‑resistant cryptography.

Work Environment & Culture at arenaflex

Our remote‑first culture emphasizes flexibility, autonomy, and inclusivity. You will join a globally distributed team that values:

• Innovation: A “fail fast, learn fast” mindset encourages experimentation and bold thinking.
• Diversity & Inclusion: Diverse perspectives are celebrated, and we provide resources for underrepresented groups in tech.
• Well‑Being: Flexible scheduling, mental‑health resources, and a supportive community ensure a healthy work‑life balance.
• Transparency: Regular town‑halls, open‑door leadership, and clear communication channels keep everyone aligned with arenaflex’s mission.

Compensation, Perks & Benefits

We offer a competitive hourly rate of $25 per hour for part‑time contributors, along with a comprehensive benefits package that includes:

• Health, dental, and vision coverage (eligible part‑time employees).
• Retirement savings plan with employer matching.
• Paid time off and flexible holidays to accommodate personal and cultural observances.
• Remote‑work stipend for home office equipment, high‑speed internet, and ergonomic accessories.
• Access to arenaflex’s learning portal, technical libraries, and internal knowledge‑sharing platforms.
• Employee assistance programs, wellness challenges, and virtual social events.

How to Apply

If you are excited about leveraging data science to protect millions of users from cyber threats, we want to hear from you. Please submit your resume, a brief cover letter outlining your relevant experience, and any portfolio or GitHub links that showcase your work.

Apply Now

Join arenaflex and Make an Impact

At arenaflex, your work directly contributes to a safer digital world. By joining our Security Response Center as a Part‑Time Remote Data Scientist, you will help shape the future of AI‑driven security, collaborate with world‑class experts, and grow your career in a supportive, forward‑thinking environment. Take the next step in your professional journey—apply today and become part of a team that values your talent, curiosity, and commitment to excellence.