Remote Machine Learning Data Analyst | WFH

Job Overview

We are seeking a highly skilled and driven Machine Learning Data Analyst to become an integral part of our innovative AI & Threat Analytics team. In this role, you will play a vital role in enhancing our autofill classification models through meticulous management, optimization, and analysis of intricate datasets. This position offers the flexibility of 100% remote work, with the option for a hybrid schedule for candidates based in the El Dorado Hills, CA, or Chicago, IL areas.

Key Responsibilities

• Take full ownership of the complete data lifecycle, including collection, cleaning, and preprocessing of HTML-based datasets for machine learning applications.
• Utilize advanced web analysis tools to extract and structure data from DOM environments, ensuring robust model training and validation.
• Collaborate closely with engineers to support and execute feature engineering experiments while producing high-quality training datasets.
• Generate and enhance synthetic datasets utilizing large language models (LLMs) to improve data balance and availability for model training.
• Employ dimensionality reduction techniques to analyze data, explore feature strengths, and elevate dataset quality.
• Streamline data processing workflows through automation, enhancing efficiency and accuracy in data manipulation and transformation.
• Maintain comprehensive documentation for data workflows, methodologies, and processes to ensure lineage, reproducibility, and scalability.
• Establish robust validation and data quality systems to guarantee consistency and integrity across all datasets.
  
  

Required Skills

• 2+ years of professional experience in a Data Analyst role, ideally within a cybersecurity or machine learning context.
• Proficiency in Python for data manipulation and analysis, utilizing libraries such as Pandas and NumPy for workflow automation.
• Extensive experience with web analysis tools (e.g., Selenium, BeautifulSoup) and a solid grasp of HTML and DOM structures for effective data extraction.
• Knowledge of natural language processing (NLP) techniques including tokenization, stop word removal, and lemmatization for text data preparation.
• Experience in generating synthetic datasets and leveraging LLMs to enhance machine learning data.
• Strong collaboration skills to work effectively with machine learning engineers and other technical teams.
• Exceptional problem-solving ability with a meticulous focus on data quality and governance.
• Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing.
  
  

Qualifications

• A Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience.
• Due to the role's involvement in GovCloud, all applicants must be identified as a US Person.
  
  

Career Growth Opportunities

Joining our team presents numerous opportunities for professional advancement as you work alongside experienced machine learning engineers and gain hands-on exposure to cutting-edge data analysis techniques and tools.

Company Culture and Values

We pride ourselves on fostering a collaborative and innovative environment that values diversity and encourages sharing ideas and leveraging collective expertise.

Compensation And Benefits

• Medical, dental, and vision insurance (including coverage for domestic partnerships).
• Employer-paid life insurance and employee/spouse/child supplemental life insurance.
• Voluntary short/long-term disability insurance.
• 401(k) plan with both Roth and traditional options available.
• Generous paid time off (PTO) plan that acknowledges your commitment and seniority, including paid bereavement and jury duty leave.
• Competitive annual bonuses.
  
  

We are dedicated to creating an inclusive environment for all employees.

Employment Type: Full-Time