Senior Applied Scientist

Role overview

Lead applied machine learning work from problem definition and experimentation through production deployment and performance review. You will tackle complex modeling challenges, improve existing models through rigorous analysis, and help shape technical decisions and scientific practices. The role involves close partnership with engineering, product, and business stakeholders.

Responsibilities - Own end-to-end development of machine learning models, from framing the problem to deployment and ongoing evaluation. - Design and assess modeling approaches to improve predictive accuracy, robustness, and operational effectiveness. - Identify model improvements through feature development, experimentation, and statistical analysis. - Translate complex partner needs into clear machine learning objectives and measurable outcomes. - Review scientific methods, guide technical decisions, and share expertise to strengthen team practices.

Requirements - Bachelor’s degree in a technical or quantitative field, or equivalent practical experience. - At least 3 years developing and evaluating machine learning models or applying statistics to production-oriented problems. - Experience building models with Python and established machine learning frameworks. - Experience designing experiments and evaluating results with statistical methods and quantitative metrics. - Experience implementing, deploying, or maintaining models in production.

Nice to have - Advanced degree, ideally a PhD, in a quantitative discipline. - Familiarity with ensemble learning, deep learning, or probabilistic modeling. - Ability to assess tradeoffs among model performance, interpretability, reliability, and computing efficiency. - Experience with large-scale data processing or distributed machine learning. - Skill in communicating scientific findings to technical and business teams.

Benefits and work setup The role is listed as remote in the United States and Canada, excluding Quebec for Canadian hires, with regular in-person team sessions that may occur once or twice per quarter. The listing describes salary, bonus opportunities, equity, retirement matching, health coverage, paid leave, family support, wellness and productivity allowances, and team events. The stated base salary range is $167,700–$231,800 USD.