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Top Senior Level Data Science Jobs in Dallas, TX
The Senior Scientist will lead collaborations with biomedical partners to develop and implement pharmacometric strategies. Responsibilities include creating population PK/PD models, performing Monte-Carlo simulations, and producing technical reports, contributing to the advancement of drug development through data-driven decision making.
The Senior Data Scientist at Constellation will develop innovative data science solutions, explore complex datasets, build advanced ML models, and mentor junior team members. Responsibilities include translating business requirements into actionable data science strategies, collaborating with cross-functional teams, and managing data visualization, ETL processes, and code repositories.
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.
As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.
The Sr. Oracle Applications DBA is responsible for maintaining Oracle E-Business Suite environments and performing tasks such as patching, troubleshooting, performance tuning, and database administration. This role involves ensuring the availability and integrity of Oracle systems, providing support, managing upgrades and migrations, and handling disaster recovery processes.
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.
The AI Data Leader will develop and implement an AI and data strategy, oversee innovation in AI technologies, collaborate with teams to implement solutions, build a high-performing team, drive data management and governance, supervise AI development, and ensure compliance with regulations.
The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.
Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders
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