Strong Python and SQL skills; experience with dbt, Airflow, docker or sagemaker is relevant
Minimum of three years of experience in Data Science or Applied ML, ideally in a B2B SaaS environment
Experience working in finding patterns in user behavioral or risk-related data using statistics
Working experience building and evaluating ML models used in customer-facing products. Experience with recommendations or decision-support systems is a plus
Strong understanding of machine learning principles, algorithms, and techniques (implied but not explicitly stated)
Ability to explain data-driven insights clearly to both technical and non-technical audiences (implied requirement for communication skills)
Pragmatic, ownership-driven mindset with a focus on real-world impact (explicitly mentioned as what makes someone a great fit but can be considered an implicit job qualification in terms of attitude/mindset)
Responsibilities
Make analytics decision-grade by strengthening core security and awareness metrics.
Build trust in data through defining validation rules for consistency and comparability over time.
Own the evolution of our human cybersecurity risk model into a stable, explainable scoring system.
Turn insights into action by measuring targeted interventions to reduce risks.
Collaborate with Engineering in shipping production ready models via MLOps practices like dbt and Airflow or docker/sagemaker experience is relevant.
Communicate complex data insights clearly to Product, Customer Success, leadership, as well as non-technical audiences.
Take ownership of the role's direction in a fast-moving product environment with pragm01_stateDed responsibility and focus on real-world impact.
Benefits
Equity: Yes, equity is mentioned as part of what we offer.
PTO: Full-time employees are offered up to 33 vacation days (PTO).
Perks: Yes, perks are mentioned including tech equipment, referral bonuses, dog-friendly HQ, flexible hours (work/life balance), access to Open Up and corporate discounts, virtual events, collaborative team activities, opportunities for local meet-ups, as well as the list going on.