As a Data Scientist, the role focuses on developing machine learning models to solve complex business problems, stepping into ML engineering tasks, such as troubleshooting pipelines and ensuring operational stability, mentoring junior team members and fostering collaboration across teams.

Conduct research and development in neuro-symbolic computing and intelligence with a focus on mathematical foundations of safe, robust, responsible, and ethical AI. Actively participate in existing and new projects on neuro-symbolic computing and intelligence for government and commercial clients. Co-develop research ideas and lead the experimental evaluation of these ideas.

We are seeking a Data Scientist to join our growing data science team as a part of the fast-paced Product division at Healthcare.com. This role combines data science, analysis, and engineering to deploy and optimize machine learning models that directly impact business performance.

Take the lead in building Monte Carlo's next-generation Machine Learning capabilities. This is a high-impact role where you’ll work on challenging and exciting projects that directly shape the future of data reliability, and collaborate with a tight-knit team of expert data scientists and engineers.

At the forefront of our AI and Machine Learning innovation! You'll design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams. Passionate about using AI to solve real-world problems at scale.

In this role, you will develop regression models, classification algorithms, and geospatial clustering within a location-data platform processing terabytes of data daily. It requires expertise in ML, Gen AI, Deep Learning, and advanced statistics. The Data Scientist will develop and implement ML and Gen AI algorithms, design scalable solutions, and analyze large-scale location data.

This is a unique opportunity to help build robust and scalable systems that handle data workloads at Haus. The ideal candidate is an accomplished engineering leader and an excellent communicator, who has deep experience with scalable distributed systems, and is well-versed with data systems/workflows. The role involves driving engineering execution, crafting the team’s vision, and collaborating with other teams.

The Senior Data Scientist develops models and runs analyses to enhance business operations and support Oscar's goals. You will report to the Lead Data Scientist. The role involves researching, developing, and maintaining data pipelines, statistical/ML models, and/or advanced analyses.

Join Palmstreet as a Data Scientist II to drive data-powered decision-making, collaborate with stakeholders to develop analytic dashboards, generate product insights, and build AI/ML solutions to accelerate GMV growth using advanced AI/ML techniques. You will enhance live personalization, growth forecasting, LTV inference, and supply-demand optimization.

As a Business Intelligence Analyst within GP will be leveraging data to spot relevant insights, identify trends and opportunities for the Marketing and Sales team. The person who fills this role will create visually appealing reports and dashboards that correctly communicate key findings to stakeholders. We are looking for a data driven mind with a passion for analytics.