Remote Data Analyst - AI & Threat Analytics Team: Expert in Machine Learning Data Analysis and Web Scraping for Innovative Security Solutions

Join the Future of AI-Powered Threat Analytics as a Remote Data Analyst

Be part of a pioneering team that's revolutionizing the field of AI and threat analytics! We're seeking a highly skilled and motivated Remote Data Analyst to join our innovative AI & Threat Analytics team. As a key member of our team, you'll play a pivotal role in enhancing our autofill classification models through effective management, optimization, and analysis of diverse datasets. If you're passionate about machine learning, data analysis, and web scraping, we want to hear from you!

About Our Company and Culture

Our company is dedicated to harnessing the power of AI and machine learning to develop cutting-edge security solutions. We pride ourselves on fostering a diverse and inclusive workplace environment that encourages collaboration, innovation, and growth. Our team is comprised of talented individuals from various backgrounds, and we're committed to valuing every employee's contributions. We're looking for someone who shares our passion for innovation and excellence.

Job Overview

As a Remote Data Analyst, you'll be responsible for managing the complete data lifecycle, including collection, cleaning, and preprocessing for HTML-centric datasets utilized in machine learning applications. You'll leverage web analysis tools to extract and structure data from DOM environments, facilitating model training and validation. You'll collaborate effectively with machine learning engineers to support feature engineering initiatives and create training datasets tailored to model specifications.

Key Responsibilities

• Data Lifecycle Management: Manage the complete data lifecycle, including collection, cleaning, and preprocessing for HTML-centric datasets utilized in machine learning applications.
• Web Analysis and Data Extraction: Leverage web analysis tools to extract and structure data from DOM environments, facilitating model training and validation.
• Collaboration with Machine Learning Engineers: Collaborate effectively with machine learning engineers to support feature engineering initiatives and create training datasets tailored to model specifications.
• Synthetic Dataset Generation: Generate and enhance synthetic datasets employing large language models (LLMs) to improve the balance and accessibility of training data.
• Data Analysis and Dimensionality Reduction: Conduct data analysis utilizing dimensionality reduction techniques (such as t-SNE, PCA, and UMAP) to assess feature efficacy and optimize dataset integrity.
• Automation and Workflow Optimization: Automate data workflows to enhance the efficiency of data processing, manipulation, and transformation tasks.
• Documentation and Data Lineage: Document data workflows, processes, and methodologies comprehensively to ensure data lineage, replicability, and scalability.
• Validation Protocols and Data Quality Systems: Establish validation protocols and data quality systems to maintain consistency and reliability across all datasets.

Essential Skills and Qualifications

Required Skills

• Programming Skills: Proficient in Python for data manipulation and analysis, including the use of libraries like Pandas and NumPy, as well as for workflow automation.
• Web Analysis Tools: Extensive experience with web analysis tools (e.g., Selenium, BeautifulSoup) and a solid grasp of HTML and DOM structures for data extraction and preprocessing.
• Natural Language Processing: Knowledge of natural language processing (NLP) methods such as tokenization, stop word removal, and lemmatization for preparing text data.
• Synthetic Dataset Generation: Experience in generating synthetic datasets and utilizing LLMs to support machine learning data requirements.
• Problem-Solving and Attention to Detail: Strong problem-solving capabilities and a detail-oriented approach to ensuring data quality and governance.
• Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing.

Qualifications

• Professional Experience: A minimum of 2 years of professional experience as a Data Analyst, ideally in a cybersecurity or machine learning context.
• Collaboration and Communication: Excellent collaboration skills, particularly with machine learning engineers and other technical teams.
• Education: A Bachelor's degree in Data Science, Statistics, Computer Science, or a related discipline, or equivalent experience.
• US Person Classification: Given the role's interaction with GovCloud, all applicants must be classified as a US Person.

Career Growth Opportunities and Learning Benefits

This position provides substantial opportunities for professional development, enabling you to collaborate with leading machine learning engineers and enhancing your expertise in data analysis and machine learning methodologies. You'll have the chance to:

• Develop New Skills: Learn and master new tools, technologies, and methodologies in machine learning and data analysis.
• Collaborate with Experts: Work alongside experienced machine learning engineers and data scientists to solve complex problems and develop innovative solutions.
• Contribute to Cutting-Edge Projects: Participate in projects that have a significant impact on the field of AI and threat analytics.

Work Environment and Company Culture

We offer a flexible and remote work environment that allows you to work from anywhere. Our company culture is built on:

• Diversity and Inclusion: We value diversity and promote an inclusive work environment that encourages collaboration and innovation.
• Collaboration and Teamwork: We foster a culture of teamwork and collaboration, where every employee's contributions are valued.
• Professional Growth and Development: We provide opportunities for professional growth and development, enabling you to enhance your skills and expertise.

Compensation, Perks, and Benefits

We offer a comprehensive compensation package that includes:

• Competitive Salary: A competitive salary that reflects your skills and experience.
• Comprehensive Medical, Dental, and Vision Insurance: Comprehensive medical, dental, and vision insurance (including domestic partnership coverage).
• Employer-Paid Life Insurance and Supplemental Life Insurance Options: Employer-paid life insurance and supplemental life insurance options for employees and their families.
• Voluntary Short-Term and Long-Term Disability Insurance: Voluntary short-term and long-term disability insurance.
• 401(k) Plan Options: 401(k) plan options, including both Roth and traditional plans.
• Generous Paid Time Off (PTO) Policy: A generous paid time off (PTO) policy that acknowledges your dedication and tenure, with provisions for paid bereavement and jury duty leave.
• Competitive Annual Bonuses: Competitive annual bonuses.

Conclusion and Call to Action

If you're passionate about machine learning, data analysis, and web scraping, and you're looking for a challenging and rewarding role, we encourage you to apply. As a Remote Data Analyst, you'll have the opportunity to work on cutting-edge projects, collaborate with leading machine learning engineers, and enhance your expertise in data analysis and machine learning methodologies.

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