Top Data Science Jobs in Tulsa, OK
The Data Conversion Specialist will oversee data migration from legacy systems to LINQ’s ERP platform. Responsibilities include leading projects, ensuring accurate data transfer, validating data integrity, and providing post-conversion support. The role demands strong technical expertise and project management skills.
As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.
The Senior Revenue Insights Analyst will drive business growth through data analysis and reporting. Responsibilities include understanding the data needs of the Customer Success organization, creating actionable dashboards, managing projects, and influencing strategic decisions based on business modeling and insights.
The Revenue Operations Analyst will enhance internal sales and marketing processes at UserGems, support go-to-market teams, and streamline operations through data-driven insights and recommendations. Responsibilities include system changes, onboarding training, and collaboration with sales and customer success teams to optimize the implementation of UserGems' solutions.
As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.
As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.
The Data and AI Specialist will drive data accuracy and growth at Crunchbase, focusing on LLM optimization, model performance evaluation, tool development, and data quality management while collaborating with data scientists and engineers.
The Senior Manager of Data Science, Advertising will lead data science initiatives for Mozilla’s advertising efforts, focusing on data-driven decision-making and optimizing ad performance. Responsibilities include developing predictive models, analyzing datasets for insights, and collaborating with product and engineering teams to enhance advertising strategies while maintaining user privacy.
The Senior Applied Research Scientist will develop novel radiotherapy algorithms and analytical dose calculation algorithms. Responsibilities include technical ownership, creating new radiotherapy products, testing algorithms, and communicating with both research and product teams to develop solutions that enhance cancer care.
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
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