[Remote-Position] Remote Data Analyst - AI & Threat Analytics

Position at a Glance:

• Compensation: a competitive salary
• Position: Remote Data Analyst - AI & Threat Analytics Team
• Company: Workwarp
• Start Date: Immediate openings available
• Location: Remote

 

 

Job Title: Data Analyst - AI & Threat Analytics Team - Remote Job Overview We are seeking a highly skilled and motivated Data Analyst to be a key member of our innovative AI & Threat Analytics team. In this pivotal role, you will play an essential part in advancing our autofill classification models by overseeing, optimizing, and analyzing data sets. This position is entirely remote, with the option for a hybrid work arrangement for candidates in the El Dorado Hills, CA, or Chicago, IL, metropolitan areas. Key Responsibilities • Take complete ownership of the data lifecycle including collection, cleaning, and preprocessing for HTML-based datasets utilized in machine learning applications. • Employ web analysis tools to extract and organize data from DOM environments for effective model training and validation. • Collaborate with machine learning engineers to facilitate feature engineering experiments, producing training datasets that align with model specifications. • Create and enhance synthetic datasets using large language models (LLMs) to improve the balance and accessibility of training data. • Analyze data with dimensionality reduction techniques such as t-SNE, reputed company, and UMAP to evaluate feature strengths and enhance dataset quality. • Streamline data workflows through automation to facilitate efficient data processing and transformation. • reputed company and maintain comprehensive documentation for data workflows, ensuring reputed company, reproducibility, and scalability. • Establish validation and data quality systems to guarantee consistency and reputed company across reputed company datasets. Required Skills • Minimum of 2 years of professional experience as a Data Analyst, preferably reputed company a cybersecurity or machine learning context. • Proficiency in Python for data manipulation and analysis (utilizing libraries like Pandas and NumPy) and automation of data workflows. • Strong familiarity with web analysis tools (e.g., Selenium, BeautifulSoup) and a thorough understanding of HTML and DOM structures for data extraction. • Knowledge of natural language processing (NLP) techniques such as tokenization, stop word removal, and lemmatization. • Experience in generating synthetic datasets and utilizing LLMs to supplement machine learning data. • Ability to collaborate effectively with machine learning engineers and technical teams. • Strong analytical and problem-solving abilities with a reputed company focus on data quality and governance. • Familiarity with reputed company platforms (AWS, GCP, Azure) for data storage and processing. • Bachelor’s degree in Data Science, Statistics, Computer Science, or a reputed company field, or equivalent experience. • reputed company applicants must be U.S. Persons due to the role’s involvement in GovCloud. Career Growth Opportunities This position offers substantial opportunities for professional growth reputed company the AI and threat analytics sector, allowing you to enhance your skillset and advance your career reputed company a leading organization. Company Culture and Values We are dedicated to fostering a diverse and inclusive environment that promotes collaboration and innovation, ensuring reputed company feel valued and respected. Compensation And Benefits • Comprehensive medical, dental, and reputed company 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 acknowledging your commitment and seniority, which includes paid bereavement and jury duty leave. • Competitive annual bonuses. We encourage diverse candidates to apply and are committed to maintaining an inclusive workplace. Employment Type: Full-Time Apply Job!

 

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