Experienced Full Stack Machine Learning Data Analyst – AI & Threat Analytics | Remote Work Opportunity

Are you a highly motivated and detail-oriented Machine Learning Data Analyst with a passion for driving innovation in the AI and cybersecurity sectors? Do you thrive in a dynamic, collaborative environment where you can leverage your technical expertise to make a significant impact? If so, we invite you to join our innovative AI & Threat Analytics team at Workwarp as a Full Stack Machine Learning Data Analyst. Job Highlights: Position: Full Stack Machine Learning Data Analyst Compensation: A competitive salary Start Date: Immediate openings available Location: Remote Company: Workwarp Job Overview: At Workwarp, we are committed to pushing the boundaries of AI and cybersecurity innovation. As a key member of our AI & Threat Analytics team, you will play a pivotal role in advancing our machine learning models through effective data management, optimization, and analysis. This fully remote position offers the flexibility to work from anywhere, with a hybrid schedule available for candidates based in the El reputed company Hills, CA, or Chicago, IL areas. Key Responsibilities: Data Collection, Cleaning, and Preprocessing: Oversee the end-to-end process of data collection, cleaning, and preprocessing for datasets utilized in machine learning applications, ensuring high-quality data for model training and validation. Web Analysis and Data Extraction: Employ web analysis tools to extract and structure data from DOM environments, facilitating model training and validation. Feature Engineering and Experimentation: Collaborate with machine learning engineers to design and execute feature engineering experiments, generating training datasets aligned with model specifications. Synthetic Dataset Development: Develop and enhance synthetic datasets using large language models (LLMs) to ensure a diverse and well-rounded set of training data. Dimensionality Reduction and Data Quality: Utilize dimensionality reduction techniques (e.g., t-SNE, PCA, UMAP) to examine data patterns and enhance dataset quality, ensuring robust data validation and quality control systems. Data Workflow Automation: Streamline data workflows through automation for efficient data processing, manipulation, and transformation. Documentation and Knowledge Sharing: Document data workflows, methodologies, and processes, ensuring clarity, reproducibility, and scalability, and sharing knowledge with the team to foster a culture of innovation. Required Skills: Data Analysis and Automation: A minimum of 2 years of experience as a Data Analyst, preferably in a cybersecurity or machine learning context, with proficiency in Python for data analysis and automation, and practical expertise in libraries such as Pandas and NumPy. Web Analysis and HTML/DOM Understanding: Strong background with web analysis tools (e.g., Selenium, BeautifulSoup) and a deep understanding of HTML and DOM structures. Natural Language Processing (NLP): Knowledge of NLP techniques such as tokenization, stop word removal, and lemmatization for text data preparation. Synthetic Dataset Generation and LLMs: Experience in generating synthetic datasets and employing LLMs to enhance machine learning data. Collaboration and Communication: Capacity to collaborate efficiently with machine learning engineers and other technical teams, with excellent problem-solving abilities and a meticulous approach to data quality and governance. Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing. Qualifications: Education: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or equivalent professional experience. U.S. Person Classification: Due to the nature of this role's involvement with GovCloud, all applicants must be classified as a U.S. Person. Career Growth Opportunities: At Workwarp, we are committed to fostering a culture of professional development and continuous learning, providing our employees with the resources needed to advance their careers while working on impactful projects in the AI and cybersecurity sectors. Company Culture and Values: We pride ourselves on our culture of innovation and collaboration. Our team is dedicated to creating an inclusive workplace where diversity is celebrated, and all employees feel valued and supported. Compensation and Benefits: Comprehensive Medical, Dental, and Vision Insurance: Including domestic partnership coverage. Employer-Sponsored Life Insurance: And additional options for employee/spouse/child supplemental life insurance. Voluntary Short/Long-Term Disability Insurance: Providing peace of mind for our employees. 401(k) Plan: With Roth and traditional investment options. Generous Paid Time Off (PTO): Including bereavement and jury duty leave. Competitive Annual Bonuses: Recogniz