Top Senior Level Data Science Jobs
The Senior Staff Data Scientist will work closely with the Marketing team to enhance marketing initiatives through statistical modeling and machine learning. Responsibilities include implementing Media Mix Models, conducting performance analysis, building attribution models, and developing dashboards to communicate insights. Staying updated with industry trends and technologies is also crucial.
The Radiation Effects Scientist will support research on the radiation reliability and hardness of microelectronic devices for space applications. Responsibilities include conducting tests on components, providing technical support, presenting research results, and facilitating the adoption of new technologies in national security space programs.
The Principal Data Scientist will own the health and growth of the Rokt marketplace, define key metrics, conduct analyses to identify opportunities, and collaborate with stakeholders to develop strategies and products that enhance growth.
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In this role, the Senior Manager of Machine Learning will lead a team focused on developing machine learning solutions for fraud prevention in the financial services sector. Responsibilities include team management, performance evaluation of models, and collaboration with various teams to enhance customer experience and business profitability.
The Senior Revenue Operations Analyst will collaborate with business leaders to analyze revenue operations and provide insights, improving efficiency in sales processes and systems. Responsibilities include supporting pricing, administering Salesforce, managing sales systems like HubSpot, and identifying operational improvements.
Develop and implement custom GenAI models for various supply chain challenges, manage large datasets, train and evaluate models, deploy models into existing systems, collaborate with cross-functional teams, stay updated on GenAI technologies, and contribute to research and development.
As a Senior Programmer/Analyst, you will develop software solutions to enhance enterprise systems and support reporting and analytics for geological data. You will work in Agile teams, provide subject matter expertise, analyze database structures, reverse engineer legacy applications, and support data needs through SQL operations.
As a Lead Data Scientist, you will design and deploy machine learning models using VertexAI to tackle fintech challenges, analyze datasets for insights, and optimize model performance. Responsibilities include building scalable pipelines on Google Cloud, integrating models into production, and collaborating with cross-functional teams.
The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.
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