Top Data & Analytics Jobs
The Data Architect will lead the design and implementation of data products, collaborating with various product teams. Responsibilities include data modeling, ensuring adherence to data architecture guidelines, creating data quality standards, and managing a team of engineers. The position involves consulting on systems architecture and collaborating with Data Science teams.
The Data Architect will lead the design and implementation of business data products, collaborate with various teams for data architecture and design, ensure compliance with data standards, and empower teams to enhance data quality and automation. The role also includes coaching and mentoring engineers while staying current with industry trends.
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As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.
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The Senior Data Scientist will drive collaboration across teams to analyze data for fraud risks, build machine learning models, and provide insights for risk mitigation. Responsibilities include data refinement, project prioritization, mentoring, and establishing best practices in data science.
As a Machine Learning Engineer at Ibotta, you will design, develop, and deploy scalable machine learning models and infrastructure. You will collaborate with cross-functional teams, communicate complex solutions to stakeholders, and contribute to innovative projects involving recommendation systems and generative AI.
Senior Research Developer responsible for designing and implementing large-scale recommendation systems to personalize content recommendations for millions of anime fans worldwide. Key responsibilities include system architecture design, data preprocessing, model training, and operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow and PyTorch.
Senior Machine Learning Engineer responsible for designing and implementing recommendation systems to enhance user engagement and satisfaction through personalized content recommendations. Will work on system architecture, data preprocessing, model training, measurement feedback, and operational excellence. Requires 5+ years of experience in large-scale recommendation systems, proficiency in Python, familiarity with TensorFlow, PyTorch, GPU optimization, and cloud platforms.
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The Senior Data Scientist will collaborate with a cross-functional team to design, develop, and deploy analytic models and high-impact data solutions in motorsports, leveraging machine learning and AI to support race teams. Responsibilities include analyzing and preprocessing diverse data, building predictive models, and presenting findings through visualization techniques.
Design and develop scalable and high-quality AI/ML features and solutions based on business needs. Collaborate with cross-functional teams to implement advanced AI technologies. Build infrastructure for AI/ML models and data collection mechanisms to meet customer demands. Ensure accuracy and freshness of enterprise operational data for thousands of customers.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze risks associated with various businesses. This role requires transforming large datasets into actionable insights, collaborating closely with product management and engineering teams, and driving project direction.
The Deals Tech & Data Solutions Manager will lead teams in technology-driven solutions for mergers and acquisitions, leveraging data insights, and effectively managing client engagements. Responsibilities include supervising teams, maintaining quality deliverables, and communicating with both technical and business stakeholders.
The Machine Learning Engineer will lead the development and deployment of machine learning models at scale to analyze risk in various business classes. The role involves transforming large datasets into insights and collaborating with product management and software engineers in a sprint environment.
As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of machine learning models to assess business risks using structured and unstructured data. You will drive project direction with ownership and collaborate in agile sprints with Product Management and Software Engineers.
As a Machine Learning Engineer, you will be responsible for leading the development and deployment of machine learning models to evaluate business risks. You will analyze structured and unstructured data sources to provide insights while managing projects within a two-week sprint framework, collaborating closely with product and software teams.
As a Manager in the Machine Learning team, you will lead planning and coordination within sprints, build and maintain a machine learning platform, manage data pipelines, troubleshoot technical issues, and mentor team members.
The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.
The Senior Software Engineer will build a next-gen machine learning platform for advertising decisioning, develop scalable data analysis methods, collaborate with researchers, and advocate for best engineering practices.
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimize services, manage project milestones, communicate progress to stakeholders, and uphold best practices within the team while collaborating with engineers and product managers.
The Senior Data Engineer will design and develop batch and streaming data jobs, collaborate with ML engineers to automate data pipelines, and create tools to support event-driven architecture. The role requires working in an Agile environment and managing the lifecycle of data pipelines to support machine learning initiatives.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to evaluate business risks using various data sources. You will own projects, driving their direction while collaborating with Product Management and Software Engineers in a sprint-based environment.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk, utilizing both structured and unstructured data. You will have full ownership of projects and collaborate closely with Product Management and Software Engineers in a sprint environment.
As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze business risks using various data sources. Responsible for transforming large datasets into actionable insights, this role requires collaboration with product managers and software engineers during two-week sprints.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to analyze business risks using varied data sources. You'll manage projects with autonomy while collaborating with Product Management and Software Engineers in a two-week sprint cycle.
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