Senior Data Scientist (Applied ML)

Join Justworks, a leading HR technology platform, as a Senior Data Scientist. In this role, you will partner with product and engineering leaders to identify and scope new data science use-cases, utilize SQL to query datasets, prototype and deploy technical solutions, and support technical and code reviews. You will also collaborate with the MLE team, build model monitors, and perform other related responsibilities. Enjoy benefits such as paid volunteer work, parental leave, work from home opportunities, and extensive learning and development opportunities.

• Collaborer avec les leaders des produits et de l'ingénierie pour identifier et définir de nouveaux cas d'utilisation de la science des données.
• Utiliser SQL pour interroger des ensembles de données structurées et non structurées pertinents pour les problèmes.
• Prototyper, évaluer et déployer des solutions techniques, y compris l'apprentissage automatique classique, les techniques statistiques, les algorithmes, l'apprentissage profond et les LLMs.

• Assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome
• Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking. This includes helping product partners develop a more data-informed mindset, not just answering their questions
• Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism
• Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improv
• Strong communication and data storytelling skills — you can translate complex findings into clear narratives that influence strategy and decisions
• Strong expertise in predictive modeling, numerical algorithms, and statistical methods
• Familiarity with a cloud-based data stack (e.g. Snowflake, dbt)
• 7+ years of experience as a data scientist or machine learning practitioner, with a track record of driving business impact through statistical analysis, machine learning, and productionizing models
• Proficient in Python for both model research and development, as well as writing production grade code for deployment
• Demonstrated curiosity about AI tools and emerging technologies, with a track record of applying them to accelerate analysis, improve rigor, or expand the reach of data science work
• Prior experience in a high-growth startup or SaaS company is preferred
• Fluent in SQL
• Strong business acumen and the ability to connect analysis to product strategy, roadmap tradeoffs, and business outcomes