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The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.
As a Research Scientist at Applied Intuition, you'll focus on AI and autonomous systems research, collaborating with a team to develop industry-leading models and algorithms. You'll engage in publishing high-quality research and support the deployment of solutions for various applications, enhancing the capabilities of autonomous vehicles.
As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
As a Senior Data Scientist on the Search Ranking Team, you will analyze large datasets, develop and deploy machine learning models, and work on optimizing product search rankings using algorithms. You will contribute to solving complex problems in e-commerce, focusing on machine learning applications in areas like NLP, computer vision, and predictive modeling.
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.
As a Senior ML Engineer at Curai Health, you will develop and enhance AI systems for patient and physician applications. You will fine-tune large language models, perform model evaluations, mentor team members, and collaborate across product, engineering, and clinical teams to generate impactful machine learning solutions.
The Staff Machine Learning Engineer will enhance AI capabilities while improving the codebase and development processes. Responsibilities include developing end-to-end solutions, collaborating with project teams, managing risks, and communicating technical details effectively. The role involves hands-on work in design, documentation, and testing of new functionalities.
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The Senior Data Scientist will model complex enterprise problems, utilizing machine learning and statistical techniques to optimize inventory and assortment strategies. The role includes developing and deploying machine learning models on Google Cloud Platform, mentoring junior team members, and collaborating with cross-functional teams to improve data-driven decision-making.
The Staff Data Scientist will lead advanced analytics initiatives for Data Solutions and Media Measurement, developing statistical models and machine learning algorithms. Responsibilities include collaborating with teams to automate measurement methodologies, mentoring other data scientists, managing projects, and communicating insights effectively.
The Head of AI & Data at Drips will lead AI and ML initiatives focused on NLP and dialog management, overseeing the entire AI technology lifecycle from strategy through execution. Responsibilities include driving innovation, mentoring teams, collaborating with executives, and establishing best practices for operational efficiency. The role demands deep technical expertise in AI disciplines and hands-on experience in creating business solutions.
As a Machine Learning Engineer at Capital One, you'll design, develop, and implement machine learning applications in an Agile team. Responsibilities include building ML models, collaborating with Data Science teams, ensuring code quality, and automating tests and deployment while leveraging cloud technologies for optimized performance.
The Machine Learning Engineer at Capital One will engage in the design, development, and deployment of machine learning applications. Responsibilities include building ML models, managing production environments, and developing optimized data pipelines while collaborating with cross-functional teams to solve real business problems using innovative technologies.
As a Machine Learning Engineer at Capital One, you'll design and implement machine learning applications. Your role involves collaborating with product and data science teams, optimizing ML models, and ensuring effective deployment practices. Responsibilities include coding, data pipeline construction, and model monitoring, leveraging contemporary ML frameworks and cloud environments.
The Senior Data Scientist leads data science initiatives in healthcare, developing and implementing complex AI models. This role includes project management from design to deployment, collaboration with teams to ensure project success, and mentoring junior scientists. The position focuses on translating technical findings to actionable insights for stakeholders, optimizing models, and fostering a culture of data-driven innovation.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
As the Applied AI ML Lead, you will lead a team of data scientists to develop AI/ML capabilities for fraud detection, collaborate with stakeholders, and work with technology partners on architectural solutions. Your role involves coaching junior members and ensuring compliance with data handling protocols while promoting innovation in AI/ML applications.
As a Graduate Data Scientist I, you will work with engineering teams on the development and deployment of data-focused products. Responsibilities include building forecasting models using deep learning, collaborating on signal collection and monitoring, and supporting product teams to enhance ad inventory quality.
As a Data Science Manager, you will lead a team of data scientists to analyze the digital journey of patients and assess the impact of healthcare products. You'll use statistical modeling, machine learning, and predictive analytics to develop retention strategies and improve health outcomes through personalized recommendations.
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.
The Sr. Data Architect at McKesson is responsible for designing and implementing data architecture solutions that support business goals. This role involves collaborating with stakeholders, ensuring data integrity, and driving innovation through advanced analytics and cloud technologies. The architect will manage data design deliverables and tackle complex data-related problems with strategic solutions.
The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.
As a Data Scientist at Adobe, you will prioritize and lead analytics initiatives, develop machine learning strategies, collaborate with product and marketing teams, conduct A/B experiments, and foster a data-driven culture to inform product roadmaps and business strategies.
The Data Science Product Portfolio Manager will manage data science product delivery, coordinate multi-project initiatives, and enable technical solutions. Responsibilities include translating business goals into product solutions, managing client expectations, ensuring quality deliverables, and collaborating with technical and business teams to drive AI and machine learning analytics projects.
As a Manager of Data Analytics, you'll lead a team of data analysts, develop analytics frameworks, present findings to stakeholders, and collaborate with various teams to guide data-driven decisions. Responsibilities include mentoring staff, ensuring data privacy compliance, and staying updated with industry developments.
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