Top Data Science Jobs

The Senior Unified Communications Analyst will be responsible for resolving Unified Communications user incidents and requests, working with vendor-specific video teleconferencing systems, providing weekly reports, and assisting in the installation of data and voice communications equipment. This role requires a security clearance and full-time on-site support.

As a Data Scientist at Komodo Health, you will deliver high-value analytics projects, implement client solutions using statistical analysis and ML, develop an understanding of healthcare claims data, and create plans to scale solutions. You will present insights to partners and promote good engineering practices.

The Revenue Operations Analyst at TeamSnap is responsible for developing revenue forecasts, tracking key performance indicators, creating dashboards for stakeholders, and collaborating with sales, marketing, and finance teams to optimize revenue performance. The role involves providing data-driven insights, improving forecasting methodologies, and ensuring alignment on revenue goals.

As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.

The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.

Lead research efforts on generative video models, work with the ML team to help productionize research, stay up-to-date with the latest advancements, PhD or equivalent experience preferred

As a Generative AI Data Scientist at Deepwatch, you will design and develop advanced AI/ML solutions using large datasets to solve real-world problems in cybersecurity. You'll collaborate with business teams and ML engineers to create impactful products and drive discussions with technical and management personnel.