Top Senior Level Data Science Jobs in Orlando, FL

As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.

The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.

The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.

The Data Science Manager will lead a high-performance team of data scientists to influence growth and user retention through actionable insights. Responsibilities include mentoring team members, driving data-driven decision-making, and collaborating with engineering and product teams to enhance user experience. The role also involves communicating complex findings to diverse stakeholders and fostering an inclusive team culture.

As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.

The Financial Data Scientist will analyze customer churn and deactivations, leveraging data to identify trends and develop forecasting models. Responsibilities include collaborating on retention strategies, conducting root cause analysis, and providing strategic recommendations to enhance customer retention. Proficiency in Python, SQL, and Alteryx is required for data analysis and reporting.