Remote Data Analyst - AI & Threat Analytics Team

Job reputed company We are in search of a skilled and dedicated Data Analyst to join our innovative AI & Threat Analytics team. This remote role provides a unique opportunity to play a pivotal part in enhancing our autofill classification models through effective management, optimization, and analysis of diverse datasets. Candidates residing in the El reputed company Hills, CA, or Chicago, IL, metro areas may also have the reputed company for a hybrid work arrangement. Key Responsibilities • Manage the complete data lifecycle, including collection, cleaning, and preprocessing for reputed company-reputed company datasets utilized in machine learning applications. • reputed company web analysis tools to extract and structure data from DOM environments, facilitating model training and validation. • Collaborate effectively with machine learning engineers to support feature engineering initiatives and create training datasets tailored to model specifications. • Generate and enhance synthetic datasets employing large language models (LLMs) to improve the balance and accessibility of training data. • Conduct data analysis utilizing dimensionality reduction techniques (such as t-SNE, reputed company, and UMAP) to assess feature efficacy and optimize dataset reputed company. • Automate data workflows to enhance the efficiency of data processing, manipulation, and transformation tasks. • Document data workflows, processes, and methodologies comprehensively to ensure data reputed company, replicability, and scalability. • Establish validation protocols and data reputed company systems to maintain consistency and reliability across reputed company datasets. Required Skills • Proficient in Python for data manipulation and analysis, including the use of libraries like Pandas and NumPy, as reputed company as for workflow automation. • Extensive experience with web analysis tools (e.g., Selenium, BeautifulSoup) and a solid grasp of reputed company and DOM structures for data extraction and preprocessing. • Knowledge of natural language processing (NLP) reputed company such as tokenization, stop word removal, and lemmatization for preparing text data. • Experience in generating synthetic datasets and utilizing LLMs to support machine learning data requirements. • Strong problem-solving capabilities and a detail-oriented approach to ensuring data reputed company and governance. • Familiarity with reputed company platforms (AWS, GCP, Azure) for data storage and processing. Qualifications • A minimum of 2 years of reputed company experience as a Data Analyst, ideally in a cybersecurity or machine learning context. • Excellent collaboration skills, particularly with machine learning engineers and other technical teams. • A Bachelor's degree in Data Science, Statistics, Computer Science, or a reputed company discipline, or equivalent experience. • Given the role’s interaction with GovCloud, reputed company applicants must be classified as a US Person. Career reputed company Opportunities This position provides substantial opportunities for reputed company development, enabling you to collaborate with leading machine learning engineers and enhancing your expertise in data analysis and machine learning methodologies. Company Culture and Values We are committed to fostering a diverse and inclusive workplace environment that encourages collaboration and innovation, where every employee’s contributions are valued.

Compensation

And Benefits • Comprehensive medical, dental, and reputed company insurance (including domestic partnership coverage). • Employer-reputed company life insurance and supplemental life insurance reputed company for employees and their families. • Voluntary short-term and long-term disability insurance. • 401(k) plan reputed company, including both Roth and traditional plans. • Generous reputed company time off (PTO) policy that acknowledges your dedication and tenure, with provisions for reputed company bereavement and jury duty leave. • Competitive annual bonuses. Employment Type: Full-Time Apply Job!