Machine Learning Data Analyst
We are seeking a highly motivated and experienced Data Analyst to join our AI & Threat Analytics team. You will play a key role in driving the development of our autofill classification models by managing, optimizing, and analyzing datasets. This is a 100% remote position with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area!
Keepers cybersecurity software is trusted by millions of people and thousands of organizations, globally. Keeper is published in 21 languages and is sold in over 120 countries. Join one of the fastest-growing cybersecurity companies and play a key role in managing and preparing data that will drive next-generation autofill and classification models.
About Keeper
Keeper Security is transforming cybersecurity for people and organizations around the world. Keepers affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on... every device. Our award-winning, zero-trust, privileged access management platform deploys in minutes and seamlessly integrates with any tech stack and identity application to provide visibility, security, control, reporting and compliance across an entire enterprise. Trusted by millions of individuals and thousands of organizations, Keeper is an innovator of best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at KeeperSecurity.com.
About the Role
As a Data Analyst on the AI & Threat Analytics team, you will own the entire lifecycle of data collection, preprocessing, and management for machine learning models. Working closely with our engineers, you'll leverage HTML and DOM structures to build and refine datasets, while running feature engineering experiments to enhance our autofill classification models. You'll also generate synthetic datasets using LLMs and explore complex data patterns to optimize model performance. This role is critical to moving our ML initiatives forward by ensuring the team has the highest quality data available.
Responsibilities
Own the end-to-end data collection, cleaning, and preprocessing process for HTML-based datasets used in machine learning applications.
Utilize web analysis tools to extract and structure data from DOM environments for model training and validation.
Collaborate with ML Engineers to support feature engineering experiments, and produce training datasets to meet model requirements.
Generate and augment synthetic datasets using LLMs to enhance training data balance and availability.
Analyze data using dimensionality reduction techniques (t-SNE, PCA, UMAP) to explore feature strengths and improve dataset quality.
Automate data workflows to streamline data processing, manipulation, and transformation.
Develop and maintain comprehensive documentation for data workflows, processes, and methodologies to ensure lineage, reproducibility, and scalability.
Create validation/data quality systems to ensure consistency and integrity across all datasets.
Requirements
2+ years of professional experience as a Data Analyst, preferably in a cybersecurity or ML-focused environment.
Proficiency in Python for data manipulation, analysis (Pandas, NumPy), and automation of data workflows.
Strong experience with web analysis tools (e.g., Selenium, BeautifulSoup) and a deep understanding of HTML and DOM structures for data extraction and preprocessing.
Familiarity with natural language processing (NLP) techniques such as tokenization, stop word removal, and lemmatization for text data preparation.
Experience generating synthetic datasets and using LLMs to supplement machine learning data.
Ability to collaborate effectively with ML Engineers and other technical teams
Strong problem-solving skills and a meticulous approach to ensuring data quality and governance.
Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing.
Bachelors degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience.
Due to this roles involvement in GovCloud, all applicants must be a US Person
Benefits
Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal
E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Classification: Exempt
Apply Now
Keepers cybersecurity software is trusted by millions of people and thousands of organizations, globally. Keeper is published in 21 languages and is sold in over 120 countries. Join one of the fastest-growing cybersecurity companies and play a key role in managing and preparing data that will drive next-generation autofill and classification models.
About Keeper
Keeper Security is transforming cybersecurity for people and organizations around the world. Keepers affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on... every device. Our award-winning, zero-trust, privileged access management platform deploys in minutes and seamlessly integrates with any tech stack and identity application to provide visibility, security, control, reporting and compliance across an entire enterprise. Trusted by millions of individuals and thousands of organizations, Keeper is an innovator of best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at KeeperSecurity.com.
About the Role
As a Data Analyst on the AI & Threat Analytics team, you will own the entire lifecycle of data collection, preprocessing, and management for machine learning models. Working closely with our engineers, you'll leverage HTML and DOM structures to build and refine datasets, while running feature engineering experiments to enhance our autofill classification models. You'll also generate synthetic datasets using LLMs and explore complex data patterns to optimize model performance. This role is critical to moving our ML initiatives forward by ensuring the team has the highest quality data available.
Responsibilities
Own the end-to-end data collection, cleaning, and preprocessing process for HTML-based datasets used in machine learning applications.
Utilize web analysis tools to extract and structure data from DOM environments for model training and validation.
Collaborate with ML Engineers to support feature engineering experiments, and produce training datasets to meet model requirements.
Generate and augment synthetic datasets using LLMs to enhance training data balance and availability.
Analyze data using dimensionality reduction techniques (t-SNE, PCA, UMAP) to explore feature strengths and improve dataset quality.
Automate data workflows to streamline data processing, manipulation, and transformation.
Develop and maintain comprehensive documentation for data workflows, processes, and methodologies to ensure lineage, reproducibility, and scalability.
Create validation/data quality systems to ensure consistency and integrity across all datasets.
Requirements
2+ years of professional experience as a Data Analyst, preferably in a cybersecurity or ML-focused environment.
Proficiency in Python for data manipulation, analysis (Pandas, NumPy), and automation of data workflows.
Strong experience with web analysis tools (e.g., Selenium, BeautifulSoup) and a deep understanding of HTML and DOM structures for data extraction and preprocessing.
Familiarity with natural language processing (NLP) techniques such as tokenization, stop word removal, and lemmatization for text data preparation.
Experience generating synthetic datasets and using LLMs to supplement machine learning data.
Ability to collaborate effectively with ML Engineers and other technical teams
Strong problem-solving skills and a meticulous approach to ensuring data quality and governance.
Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing.
Bachelors degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience.
Due to this roles involvement in GovCloud, all applicants must be a US Person
Benefits
Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses
Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal
E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Classification: Exempt
Apply Now