Remote Part‑Time Data Entry & AI‑Enabled Security Analyst – Competitive $25/hr – Immediate Start at workpinnacle

Why workpinnacle?

workpinnacle is a global leader in cloud‑based services, AI‑driven security, and data‑intelligence solutions. Our mission is to protect millions of customers worldwide by turning massive data streams into actionable insights that keep digital environments safe, reliable, and compliant. As a remote‑first organization, we empower talent from every corner of the world to collaborate in a culture built on trust, continuous learning, and impact‑oriented work. Joining workpinnacle means you will be part of a forward‑thinking team that values innovation, diversity, and the personal growth of every employee.

Position Overview

We are seeking a highly motivated, detail‑oriented professional to fill a part‑time Data Entry & Security Analyst role. This position is fully remote, offers a competitive rate of $25 per hour, and is available for immediate start. You will work within the workpinnacle Security Response Center (SRC) to support the development, validation, and deployment of AI‑powered security models that safeguard the workpinnacle Cloud against both known and emerging cyber threats.

Key Responsibilities

• Data Preparation & Validation: Collect, clean, and structure large‑scale structured and unstructured datasets to ensure data integrity and compliance with security standards.
• Model Development Support: Collaborate with senior data scientists to design, train, and evaluate machine‑learning (ML) and artificial‑intelligence (AI) models for threat detection, anomaly identification, and incident response.
• Statistical Analysis & Insight Generation: Apply statistical techniques (regression, clustering, time‑series analysis, etc.) to uncover patterns, generate actionable insights, and inform model refinement.
• Performance Monitoring: Implement and maintain validation pipelines, conduct cross‑validation, regularization, and dimensionality‑reduction checks to guarantee model robustness.
• Documentation & Communication: Produce clear, concise documentation in T‑SQL, Python, or R; translate technical findings into business‑focused narratives for stakeholders.
• Collaboration with Security Experts: Work closely with threat analysts to understand attack vectors, incorporate domain knowledge into model features, and align outputs with operational security workflows.
• Mentorship & Knowledge Sharing: Provide guidance to junior engineers on best practices for data handling, model evaluation, and code quality.
• Toolset Utilization: Leverage workpinnacle’s AI platforms—including workpinnacle AI, workpinnacle Cognitive Services, and workpinnacle Databricks—to accelerate model development and deployment.
• Continuous Improvement: Identify gaps in existing processes, propose enhancements, and contribute to the creation of reusable pipelines and libraries.

Essential Qualifications

• Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. A Master’s or Ph.D. is a strong plus.
• Experience: Minimum 2 years of hands‑on data science or data‑engineering experience, including work with large datasets and statistical modeling.
• Programming Skills: Proficient in Python (or Scala) with experience in libraries such as pandas, NumPy, scikit‑learn, TensorFlow, or PyTorch.
• Database Proficiency: Strong command of SQL dialects (T‑SQL, U‑SQL, KQL) and experience querying data warehouses.
• Statistical Knowledge: Ability to apply regression, clustering, time‑series forecasting (ARIMA, RNN, LSTM), and hypothesis testing to real‑world problems.
• Communication: Excellent written and verbal communication skills; capable of presenting technical concepts to non‑technical audiences.
• Remote Work Discipline: Proven ability to manage time effectively, meet deadlines, and collaborate virtually across time zones.

Preferred Qualifications & Nice‑to‑Have Skills

• Experience with cloud platforms (workpinnacle Cloud, Azure, AWS, GCP) and containerization tools such as Docker.
• Familiarity with big‑data technologies like Hadoop, Spark, Delta Lake, and MLflow.
• Knowledge of cybersecurity fundamentals, threat intelligence, and incident response processes.
• Exposure to natural‑language processing (NLP), computer vision, or other advanced AI domains.
• Previous work in a security‑focused environment, preferably within a security response center.
• Demonstrated mentorship or leadership experience, even in informal settings.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
• Attention to Detail: Meticulous approach to data quality, model validation, and documentation.
• Collaboration: Comfortable working with cross‑functional teams including engineers, product managers, and security analysts.
• Adaptability: Thrive in a fast‑changing environment where new threats and technologies emerge daily.
• Ethical Judgment: Strong sense of data privacy, security best practices, and responsible AI usage.

Career Growth & Learning Opportunities

workpinnacle invests heavily in employee development. As a part‑time analyst, you will have access to:

• Mentorship programs pairing you with senior data scientists and security architects.
• Free enrollment in industry‑leading courses (Coursera, Udacity, Pluralsight) covering advanced ML, cloud security, and data engineering.
• Opportunities to transition into full‑time roles, lead independent projects, or specialize in niche areas such as threat hunting or AI ethics.
• Regular internal hackathons and innovation challenges that encourage creative problem‑solving.
• Conference sponsorships to present your work at events like Black Hat, DEF CON, or the International Conference on Machine Learning (ICML).

Work Environment & Culture at workpinnacle

Our remote‑first philosophy means you can work from anywhere in the United States (including Massachusetts) while staying fully integrated with the team. We foster a culture of:

• Inclusivity: Diverse perspectives are celebrated, and every voice is heard.
• Transparency: Open communication channels, regular all‑hands updates, and clear roadmaps.
• Innovation: A “fail fast, learn fast” mindset that encourages experimentation.
• Work‑Life Balance: Flexible scheduling, generous paid time off, and mental‑health resources.
• Recognition: Quarterly awards, peer‑nominated accolades, and performance‑based bonuses.

Compensation, Perks & Benefits

While the hourly rate is set at $25 per hour, workpinnacle offers a comprehensive benefits package that includes:

• Health, dental, and vision insurance with employer contribution.
• Retirement savings plan (401k) with matching contributions.
• Paid parental leave and family‑care assistance.
• Professional development stipend and tuition reimbursement.
• Access to a global employee assistance program (EAP) for counseling and wellness support.
• Company‑wide virtual events, wellness challenges, and community‑service initiatives.

How to Apply

If you are passionate about turning data into defensive intelligence, love collaborating with world‑class security experts, and thrive in a remote, fast‑paced environment, we want to hear from you. Follow the steps below to submit your application:

1. Prepare an updated resume highlighting relevant data science, security, and programming experience.
2. Write a brief cover letter explaining why you are excited about the workpinnacle Security Response Center and how your skill set aligns with the role.
3. Complete the online application form and attach your documents.
4. Expect a quick response—our hiring team aims to schedule interviews within 48 hours of receipt.

Take the Next Step

Don’t miss this chance to make a tangible impact on global cyber‑security while advancing your career in AI and data science. Apply now and become a vital part of workpinnacle’s mission to protect the digital world.

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