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As a Machine Learning Researcher at Curai Health, you will drive innovation in telehealth by contributing to research-focused publications and product applications in primary healthcare. Collaborating with diverse experts, you will tackle complex healthcare challenges, mentor interns, and influence the direction of machine learning practices within the company.
The Senior Analytics Manager will analyze data to support TV and streaming campaign design, provide insights for client strategy, and manage a small team of analysts, ensuring growth through innovative analytical approaches.
The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.
The postdoc will support machine learning research for decision support, contributing to AI and turbulent flow simulations. Responsibilities include designing AI algorithms, implementing uncertainty quantification methods, and deploying these methods on high-performance computing systems to enhance simulations.
The Vice President of Identity & Data Strategy at Resonate will lead product vision and strategy for identity and data solutions. Responsibilities include managing cross-functional teams, overseeing product development, and driving market strategies. The role requires expertise in identity resolution, data quality, and methodologies, with a focus on AI-driven marketing data.
As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.
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.
As an eDiscovery Associate at Bright Labs, you'll apply expertise in forensics, predictive analytics, and machine learning to enhance case strategies and optimize litigation profiles. Key responsibilities include designing eDiscovery workflows, identifying risks, and leveraging advanced data techniques.
Featured Jobs
Join the Predict team to enhance Alloy's machine learning fraud capabilities by architecting scalable systems, collaborating with multiple teams, and developing machine learning algorithms. You'll ensure low latency and high availability by managing interfaces between systems and participating in feature generation and on-call rotations.
As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.
As a Principal Data Scientist, you will lead advanced AI presales, conduct innovative research, and develop algorithms. Responsibilities include providing strategic execution, consulting on AI journeys, optimizing business processes, and creating machine learning solutions.
As an Associate Data Scientist, you will develop AI solutions using advanced machine learning techniques, support process improvement, assist in statistical model development, and translate technical findings into actionable insights for clients.
As a Data Scientist at Cardinal Health's AI CoE, you will lead the development of AI solutions, design advanced machine learning models, guide a team of data scientists, and influence AI strategy in healthcare. Your role will involve leveraging cutting-edge AI technologies to improve patient outcomes and operational efficiency.
The Manager of Data Science for Pricing Algorithms at CarMax will develop and optimize models that accurately value vehicles based on various market conditions. Responsibilities include analyzing data, leveraging machine learning techniques, conducting controlled experiments, and communicating insights to senior leaders.
The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.
AI Scientists at HHMI develop and execute AI-based research projects aimed at biological discoveries. They lead collaborative teams, oversee projects, explore new methods, and contribute to scientific publications. They work on a range of scales, from individual projects to large initiatives, and ensure coordination across teams.
In this role, you will develop AI/ML strategies to enhance customer support, lead the development of natural language processing systems, and collaborate with other teams to integrate ML capabilities into Canva's product offerings.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.
The Sr. Data Scientist will develop and improve predictive models for pricing algorithms at CarMax, focusing on feature engineering and incorporating new insights. Responsibilities include leveraging statistical and machine learning techniques, conducting controlled experiments, and communicating findings to senior leaders to drive business change.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.
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.
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As a Staff Software Engineer, you will play a key role in shaping Tinder's personalized matchmaking through designing and scaling recommendation systems. Collaborate with the ML team to enhance user experiences and improve business outcomes by optimizing recommendation algorithms.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
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