Machine Learning Data Analyst

4 days ago

Apply Now

Receive Emails with Similar Jobs

Keeper Security, Inc.

WebsiteLinkedInAll Job Openings

Password Management • Secure File Storage • Cyber Security • password security • cybersecurity

201 - 500

Description

•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! •Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations, globally. •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. •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. •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.

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. •Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience. •Due to this role’s 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