- A hands-on data science background with a track record of delivering models, experiments, or analyses that other teams actually used — not just built.
- Demonstrated depth in at least one domain: Recommendation Systems, - - Experimental Design and Causal Inference, Customer Segmentation, Churn Prediction, Fraud/Anomaly Detection, or CRM analytics — product-focused experience particularly valued.
- Strong command of statistical methods, supervised and unsupervised machine learning, and causal inference, sufficient to review and credibly challenge work across both tracks.
- Evidence of leading others – as a tech lead, mentor, or hiring interviewer; prior formal people-management experience is a plus.
- Proficiency in Python and SQL.
- The communication range to give precise technical feedback to data scientists and represent the team clearly to senior non-technical stakeholders.
- Familiarity with cloud-based data and ML platforms (AWS, GCP, or Azure) is a nice-to-have.
Our values
At B2Spin, passion drives everything – we love building cool stuff and want teammates who feel the same way. We operate on performance: accountability, transparency, and a bias for progress over perfection. If that sounds like your kind of environment, we'd love to hear from you.
Equal opportunities
We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.