Remote Data Analyst - Machine Learning | WFH

Job Overview

Join our forward-thinking AI & Threat Analytics team as a Machine Learning Data Analyst, where your expertise will play a pivotal role in shaping our autofill classification models. This fully remote position also offers a hybrid work schedule option for candidates located in the El Dorado Hills, CA, or Chicago, IL metro areas.

Key Responsibilities

• Oversee the comprehensive lifecycle of data collection, cleaning, and preprocessing for datasets utilized in machine learning applications.
• Utilize web analysis tools to extract and structure data from DOM environments for model training and validation.
• Collaborate closely with machine learning engineers to facilitate feature engineering experiments and produce high-quality training datasets.
• Generate synthetic datasets leveraging large language models (LLMs) to optimize the balance and availability of training data.
• Conduct data analysis utilizing dimensionality reduction techniques to uncover feature strengths and improve dataset quality.
• Automate data workflows to enhance the efficiency of data processing and manipulation.
• Develop and maintain thorough documentation of data workflows and methodologies to ensure data integrity and reproducibility.
• Establish validation systems and data quality checks to ensure consistency across all datasets.
  
  

Required Skills

• Proficient in Python for data manipulation and analysis, utilizing libraries such as Pandas and NumPy.
• Strong background in web analysis tools (e.g., Selenium, BeautifulSoup) with a sound understanding of HTML and DOM structures.
• Familiarity with natural language processing (NLP) techniques, including tokenization and lemmatization.
• Experience generating synthetic datasets and utilizing LLMs to enhance machine learning data.
• Ability to work collaboratively with machine learning engineers and technical teams.
• Strong analytical and problem-solving skills with a keen attention to data quality.
• Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing.
  
  

Qualifications

• A minimum of 2 years of professional experience as a Data Analyst, ideally within a cybersecurity or machine learning context.
• A Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience.
• US Person status is required due to the role's involvement in GovCloud projects.
  
  

Career Growth Opportunities

We prioritize the professional advancement of our team members through ongoing training and opportunities for career progression within the organization. Engage with top professionals in the field and enhance your skillset while contributing to innovative projects that shape our data strategies.

Company Culture And Values

Our company fosters a culture of collaboration and innovation, where diversity and inclusivity are paramount. We believe that a variety of perspectives enhances our team dynamic and drives creativity.

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).
• Generous PTO policy recognizing employee commitment and seniority, including paid bereavement and jury duty leave.
• Competitive annual bonuses that exceed market standards.
  
  

We take pride in being an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

Employment Type: Full-Time