The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.

The Sales Development Representative will generate leads through outreach, qualify and engage prospects, and collaborate with sales teams for effective market engagement, all while participating in ongoing training and professional development.

The Business Analyst develops and presents Annual Recurring Revenue metrics, supports FP&A reporting, and integrates AI for financial insights.

As a Data Engineer, you will design and maintain scalable data pipelines, optimize workflows, and ensure data quality using tools like Databricks, Python, and SQL.

Lead the development of scalable backend systems using Python, mentor junior developers, and collaborate across teams to deliver integrated analytics solutions.

The Analyst will develop and maintain the marketing analytics platform, using Python and R, while collaborating closely with product leads to enhance user experience and troubleshoot issues.

This role involves leading data projects, performing advanced analytics on healthcare datasets, developing data solutions, and mentoring junior analysts.

Lead custom projects in healthcare analytics using SQL and Python, focusing on claims reporting, data wrangling, and predictive modeling.

Seeking a Senior Data Scientist to lead analytics projects, focusing on healthcare data using SQL and Python, and drive insights for better business decisions.

The role involves data handling and wrangling, generating reports, and supporting clients with quantitative analytics and business decision improvements.

The Software Engineer will tackle server-side development for marketing analytics, working collaboratively with cross-functional teams to build advanced applications and maintain system compatibility.

The Analytics Engagement Manager ensures client success with data adoption, manages analytics projects, gathers requirements, and develops Statements of Work while providing thought leadership in healthcare commercial intelligence.

Own the roadmap and operational health of an audience activation platform. Define requirements, manage taxonomy and segment lifecycles, ensure QA and compliance, syndicate audiences to AdTech partners, monitor performance, and lead cross-functional delivery with Data Engineering, Data Science, Sales, and Partnerships.

The Senior Data Scientist will perform advanced analytics in healthcare, focusing on claims data with expertise in SQL and Python, while mentoring junior analysts.

The Senior Software Engineer develops high-quality software solutions using C# and .NET, mentors junior team members, and participates in Agile processes.

The Principal HR Business Partner will partner with sales leadership to develop talent strategies, coach leaders, and drive organizational improvements using data analytics.

The Client Integration Engineer will lead complex client integrations, design data integration solutions, and ensure customer success while collaborating with multiple teams.

The Senior Revenue Operations Analyst will support go-to-market teams with insights and reporting, optimize processes, and analyze revenue trends to drive operational efficiency and revenue growth.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.