Remote Data Analyst - Threat & AI Analytics Team
Job Overview
We are seeking a talented and driven Data Analyst to become an integral part of our innovative AI & Threat Analytics team. This fully remote position offers the flexibility of a hybrid schedule for candidates in the El Dorado Hills, CA, or Chicago, IL metro areas. You will play a vital role in enhancing our autofill classification models by effectively managing, optimizing, and analyzing diverse datasets.
Key Responsibilities
Manage the complete lifecycle of data acquisition, cleansing, and processing for HTML-based datasets tailored for machine learning initiatives.
Utilize web analysis tools to extract and structure data from DOM environments, ensuring robust model training and validation.
Collaborate with machine learning engineers to facilitate feature engineering experiments, generating training datasets that align with model specifications.
Produce and enhance synthetic datasets using large language models (LLMs) to improve the balance and availability of training data.
Investigate data through dimensionality reduction techniques (such as t-SNE, PCA, and UMAP) to assess feature strengths and elevate dataset quality.
Automate data workflows to optimize data processing, manipulation, and transformation tasks.
Create and maintain thorough documentation for data workflows, processes, and methodologies, ensuring traceability, reproducibility, and scalability.
Develop validation and data quality systems to uphold consistency and integrity across all datasets.
Required Skills
At least 2 years of professional experience as a Data Analyst, ideally within a cybersecurity or machine learning-focused environment.
Expertise in Python for data manipulation, analysis (leveraging libraries such as Pandas and NumPy), and the automation of data workflows.
Strong experience with web analysis tools (e.g., Selenium, BeautifulSoup) and comprehensive knowledge of HTML and DOM structures for effective data extraction and preprocessing.
Familiarity with natural language processing (NLP) techniques, including tokenization, stop word removal, and lemmatization for text data preparation.
Proven experience in generating synthetic datasets and utilizing LLMs to enhance machine learning data.
Ability to collaborate efficiently with machine learning engineers and other technical personnel.
Excellent problem-solving abilities and a meticulous attention to detail in 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.
All applicants must be a US Person due to the role's involvement with GovCloud.
Career Growth Opportunities
This position offers an exceptional opportunity to work on advanced machine learning projects, fostering your skills in data analysis while integrating closely with engineers and technical teams. As part of our organization, you will be well-positioned for career advancement and professional development.
Company Culture and Values
We are committed to celebrating diversity and creating an inclusive workplace for all employees. Our team thrives on collaboration, innovation, and an unwavering commitment to quality.
Compensation And Benefits
Comprehensive medical, dental, and vision insurance (including for domestic partnerships)
Employer-paid life insurance and supplemental life insurance options for employees, spouses, and children
Voluntary short-term and 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 tenure, offering paid bereavement and jury duty leave
Competitive annual bonuses
Join us to leverage your expertise in a role that not only contributes to impactful projects in the realm of cybersecurity but also allows for networking opportunities within a reputable organization.
Employment Type: Full-Time
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