Leads development of AI/ML models and statistical algorithms to evaluate healthcare provider performance, partnering with clinical and product teams. Requires 8+ years data science experience, strong Python/SQL skills, and technical leadership in a startup environment.
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Staff Data Scientist designs statistical frameworks and conducts robust analysis to validate safety-critical AI systems for autonomous vehicles. Delivers data-driven insights to engineering teams and leadership, scaling pipelines for petabyte-scale driving data analysis. Requires MS/PhD in quantitative field and expertise in Python, SQL, and statistical methods.
Staff Data Scientist evaluates behavior in autonomous driving systems by analyzing large-scale fleet and simulation data, developing ML algorithms for feature engineering and model optimization, and ensuring safety through rigorous testing. Requires Master's/PhD and 8+ years experience in data science with Python and ML expertise.
Staff Data Scientist owns company-wide data strategy, experimentation framework, metric forecasting, and ML modeling at a social AI product studio. Requires 7+ years experience, deep SQL/Python fluency, and proactive product partnership across millions of users.
Pioneers quantitative research for music generation AI using proprietary datasets, designs evaluation frameworks for models, drives data roadmaps, and builds production infrastructure at the intersection of research, engineering, and product. Requires PhD or 5+ years quant experience with strong coding skills.
Leads company-wide standards for Bayesian experimentation and causal inference to improve decision quality in high-stakes, noisy data environments. Requires 12+ years experience, deep expertise in causal methods, and strong SQL/Python/R skills.