Top Software Data Science Jobs

Lead and coach a data science team to design, develop, and deploy predictive and prescriptive analytics for business impact. Partner with senior leaders to identify opportunities, drive adoption of models, manage vendors, and establish data science methodology and best practices.

Lead data strategy for Headway's finance and revenue systems. Build metrics frameworks, forecasts, and predictive models to measure collections loss, improve revenue infrastructure, ensure auditability/GAAP readiness, and translate findings into executive recommendations and cross-functional initiatives.

The Senior Data Scientist will manage end-to-end data science efforts, ensure stakeholder trust through timely analysis, and build systems for reproducibility while collaborating with various teams.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Senior NGS Bioinformatician will lead NGS data analysis, product development, and statistical studies for various cancer and rare disease projects.

As a Lead Data Science Analyst, you will develop predictive models, conduct statistical analyses, and create AI-driven solutions to enhance GTM strategy and customer outcomes.

The Associate, Data Science will develop customer lifecycle models, design predictive models, analyze data for business solutions, and collaborate with various teams to implement models and optimize processes.

The Senior Data Scientist will design and develop machine-learning systems, lead modeling efforts, and collaborate with teams to enhance business outcomes.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

The Senior Data Scientist will lead the development of personalization algorithms, collaborate cross-functionally, build data pipelines, and optimize machine learning models.