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Top Hybrid Data Science Jobs
The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.
As a Data Scientist, you'll analyze real-time sensor data using statistical and deep learning methods to provide actionable insights, model signals for asset tracking, and collaborate with product leaders to enhance analytics-driven solutions.
The Senior Data Scientist will support the DoD's adoption of data and AI by designing and optimizing machine learning models, collaborating with cross-functional teams, managing AI/ML components, and addressing data challenges for defense and intelligence functions.
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As a Senior Credit Analyst, you will evaluate the creditworthiness of loan applicants through in-depth analysis of financial statements, perform risk assessments, guide junior analysts, prepare credit reports, collaborate on underwriting decisions, and present proposals to the Credit Committee.
As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.
The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.
As a Junior Consultant at Ekimetrics, you will work with clients on data analytics and model construction, transforming data insights into strategic recommendations. Responsibilities include data gathering, analysis, and presenting findings directly to C-suite executives, all while gaining mentorship from a team of consultants.
Looking for a Data Science Lead to build data-driven analytics solutions for business processes in areas like customer loyalty and operations. Responsibilities include the development of AI/ML solutions, analytical roadmaps, scalable data science methodologies, and enhancing organizational data competencies.
The Senior Scientist will lead the development and execution of peptide quantitative assays from discovery to preclinical studies, utilizing LC-MS techniques. Responsibilities include method development, writing reports and SOPs, and managing cross-functional collaboration. The role involves ensuring compliance with regulatory standards and may require acting as a subject matter expert for external interactions.
The Coffee Scientist will lead R&D initiatives focusing on coffee extraction processes, collaborating with Engineering and Operations to enhance production efficiency and product quality through experimentation and process improvement. Responsibilities include data analysis, project management, industry trend engagement, and cross-functional teamwork to streamline processes.
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