Principal Data Scientist

We are looking for a Principal Data Scientist with deep, specialized expertise to lead our organization's most complex and high-impact modelling and analytical initiatives. As a recognized technical authority, you will set modelling strategy across the organization, drive our most novel work, and raise the technical standard for how we build and ship models.

Responsibilities

Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift; Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly; Big data. Federated learning. Unstructured data challenges. Timeseries and sequence modelling. A self-serve buffet of techniques from GLMs to XGBoost to Transformers; Tell stories with your data. Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line

Requirements

Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building predictive models; OR Master's or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models; Expert-level knowledge of deep learning and ML algorithms and the core Python data science ecosystem; Strong communication and collaboration skills, particularly communicating with nontechnical stakeholders and leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly; Deep experience with natural language, medical data, long-tail predictions, or similar related problem spaces; Strong familiarity with all phases of the MLOps model lifecycle, with experience creating team standards and practices to enforce quality and speed; Deep experience being accountable for model impact long term – from MLOps pipelines to monitor for drift, to KPI and impact monitoring, driving incremental and long-term improvements, triaging issues, addressing tech debt responsibly, etc.; You like getting things over the line; You are not a software engineer, but you give them a run for their money; You still do a better job than Claude, and you're skeptical of your friends who say they never code any more; You love to take initiative and spearhead new projects, even if they are not well defined; You build systems bigger than you

Nice to have

Fluency with actuarial methods and working with actuaries is a plus; Familiarity with healthcare and medical data; Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

Benefits

Fun, team-oriented startup culture; Generous stock options; Unlimited vacation days; Flexible schedule that supports working from home; Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more; Ample opportunities to learn and take on new responsibilities; Annual performance bonus; Equity grant; Comprehensive benefits package