Remote Machine Learning Data Analyst | WFH

Job Overview

Join our dynamic AI & Threat Analytics team as a Machine Learning Data Analyst, where you will play a pivotal role in enhancing our autofill classification models through the management, optimization, and analytical examination of datasets. This fully remote position also offers a hybrid option for candidates located in the El Dorado Hills, CA, or Chicago, IL metro regions.

Key Responsibilities

• Oversee the complete lifecycle of data collection, preprocessing, and management for machine learning models.
• Collaborate with engineers to leverage HTML and DOM structures for dataset refinement and enhancement.
• Conduct feature engineering experiments to improve autofill classification models.
• Generate synthetic datasets utilizing large language models (LLMs) for model training.
• Analyze data patterns using dimensionality reduction techniques such as t-SNE, PCA, and UMAP.
• Automate data workflows to enhance data processing and manipulation efficiency.
• Develop and maintain thorough documentation for data workflows and methodologies to ensure consistency and reproducibility.
• Create validation systems to uphold data integrity across all datasets.
  
  

Required Skills

• Proficiency in Python for data manipulation and automation using libraries like Pandas and NumPy.
• Solid experience with web analysis tools (e.g., Selenium, BeautifulSoup) and a strong grasp of HTML and DOM structures.
• Familiarity with natural language processing (NLP) techniques for text data preparation.
• Experience in generating synthetic datasets and working with LLMs.
• Strong collaborative skills to work effectively with machine learning engineers and technical teams.
• Exceptional problem-solving abilities with an emphasis on data quality and governance.
• Knowledge of cloud platforms (AWS, GCP, Azure) for data storage and processing.
  
  

Qualifications

• A minimum of 2 years of professional experience as a Data Analyst, with a preference for experience in cybersecurity or machine learning environments.
• A Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent practical experience.
• Applicants must be a US Person due to the role’s involvement with GovCloud.
  
  

Career Growth Opportunities

This position offers significant prospects for professional advancement as you engage with machine learning engineers and contribute to leading-edge machine learning projects. Your experience in data management and analysis will be invaluable for your career trajectory.

Company Culture And Values

We are committed to being an equal opportunity employer and an active participant in the U.S. Federal E-Verify program. Our organization celebrates diversity and is dedicated to fostering an inclusive environment for all employees, aligning with our core values of respect and collaboration.

Compensation And Benefits

• Comprehensive Medical, Dental & Vision coverage (including domestic partnerships).
• Employer Paid Life Insurance & Supplemental life options for employees, spouses, and children.
• Voluntary Short-Term and Long-Term Disability Insurance.
• 401(k) plan (Roth/Traditional).
• A generous PTO policy that recognizes your commitment and seniority, including paid bereavement and jury duty leave.
• Competitive annual bonuses that exceed market standards.
  
  

Employment Type: Full-Time