Remote Machine Learning Data Analyst

Summary

Join our AI & Threat Analytics team as a highly motivated and experienced Data Analyst to drive the development of autofill classification models by managing, optimizing, and analyzing datasets. This is a 100% remote position with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area!

Requirements

• 2+ years of professional experience as a Data Analyst, preferably in a cybersecurity or ML-focused environment
• Proficiency in Python for data manipulation, analysis (Pandas, NumPy), and automation of data workflows
• Strong experience with web analysis tools (e.g., Selenium, BeautifulSoup) and a deep understanding of HTML and DOM structures for data extraction and preprocessing
• Familiarity with natural language processing (NLP) techniques such as tokenization, stop word removal, and lemmatization for text data preparation
• Experience generating synthetic datasets and using LLMs to supplement machine learning data
• Ability to collaborate effectively with ML Engineers and other technical teams
• Strong problem-solving skills and a meticulous approach to ensuring data quality and governance
• Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience

Responsibilities

• Own the end-to-end data collection, cleaning, and preprocessing process for HTML-based datasets used in machine learning applications
• Utilize web analysis tools to extract and structure data from DOM environments for model training and validation
• Collaborate with ML Engineers to support feature engineering experiments, and produce training datasets to meet model requirements
• Generate and augment synthetic datasets using LLMs to enhance training data balance and availability
• Analyze data using dimensionality reduction techniques (t-SNE, PCA, UMAP) to explore feature strengths and improve dataset quality
• Automate data workflows to streamline data processing, manipulation, and transformation
• Develop and maintain comprehensive documentation for data workflows, processes, and methodologies to ensure lineage, reproducibility, and scalability
• Create validation/data quality systems to ensure consistency and integrity across all datasets

Benefits

• Medical, Dental & Vision (Inclusive of domestic partnerships)
• Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
• Voluntary Short/Long Term Disability Insurance
• 401k (Roth/Traditional)
• A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
• Above market annual bonuses