Top Software Data Science Jobs

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The Data Scientist will innovate using ML technologies to analyze data, build models, and create scalable solutions while collaborating with cross-functional teams.

The Data Scientist Manager leads a team in assessing model risks, developing machine learning models, and presenting insights, while leveraging various technologies.

The Sr. Principal Data Scientist develops advanced analytics and predictive models, collaborating with various teams to influence strategic business decisions and optimize outcomes.

The Engineering Data Scientist role involves analyzing aviation safety data, developing predictive models, and communicating safety insights to stakeholders to improve aircraft safety.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

As a Data Science Manager, you will lead a team in developing personalized experiences through machine learning, aligning efforts with product and engineering to drive impact and innovation.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

As a Senior Data Analyst, you will enhance member experiences through data insights, experimentation, and collaboration with product and engineering teams to drive engagement and retention.

Lead the Analytics & Data Science team to enhance customer experience by optimizing processes and leveraging advanced data analysis. Oversee product roadmaps, establish monitoring systems, and foster a culture of experimentation across teams.

The Data Scientist role involves developing algorithms and models for real-time decision making, collaborating with teams, and utilizing complex data in a high-frequency marketplace.