This role combines technical expertise with analytical thinking to ensure our data classification systems deliver accurate, reliable results for our customers. We use a combination of ML abilities, including NER and LLMs, along with great engineering and analytics to deliver findings on millions of files and tables a day.
Responsibilities:
Design and implement classification to expand coverage of sensitive data types, owning the end-to-end process from research and analysis through production deployment.
Design, build, and maintain data pipelines and dashboards to track product performance, business metrics and deliver actionable insights to stakeholders at all levels.
Build automated workflows to evaluate and benchmark model performance, monitor data quality, and generate comparative analysis reports.
Work from within the R&D Data team, take part in the discussions revolving around our AI research objectives, priorities and solutions.
2 years of hands-on experience analyzing data in a B2B SaaS company.
Proficiency working with SQL, Python, Spark or similar technologies.
Experience building and maintaining data pipelines, ETL processes, and workflow orchestration tools (Airflow, Dagster, or similar).
Degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics.
Experience with BI tools (Tableau, Looker, Power BI).
Understanding of software development best practices (Git, CI/CD, testing)
Can-do attitude.
Problem solving skills, self-starter, proactive mindset.
Previous experience in the cybersecurity domain – an advantage.
Experience with cloud environments – an advantage.
