Get the job you really want.
Top Data & Analytics Jobs
As a Software Engineer in Machine Learning Platform & Operations, you will support the development and deployment of machine learning models, build self-service components for the ML platform, and enhance cloud infrastructure solutions. You'll collaborate with various teams to ensure effective machine learning system development.
The Sr. Director of Analytics will lead analytics initiatives, drive the implementation of frameworks for media and digital investment measurement, and mentor a team of analytics professionals. Responsibilities include developing analytics strategies, overseeing accurate data collection, and providing insights for improved user experiences and marketing performance.
As the Sr. Director of Analytics, you will lead analytics initiatives to enhance client media and digital investments, implement frameworks for performance measurement, and guide a team of analytics professionals. Your role includes developing data-driven insights to optimize user experiences and marketing performance, overseeing tagging and tracking implementations, and collaborating with cross-functional teams.
As Sr. Director, Analytics, you will lead analytics initiatives to enhance client media and digital investments, develop strategies for performance measurement, and guide a team to deliver insights that improve user experiences and marketing performance.
As the Sr. Director of Analytics, you will lead analytics initiatives to enhance media and digital investment effectiveness. Responsibilities include developing analytics strategies, overseeing data collection and reporting, leading insights generation, and collaborating with cross-functional teams.
As the Sr. Director of Analytics, you will lead analytics initiatives, drive the implementation of frameworks and performance measurement for client media and digital investments, and guide a team of analytics professionals. Your role includes developing strategies, ensuring accurate data collection, and providing actionable insights to enhance user experience and improve marketing performance.
As the Sr. Director of Analytics, you will lead analytics initiatives to enhance media and digital investments for clients. Responsibilities include developing analytics strategies, overseeing data collection and reporting, and creating insights from data analysis. You will guide a team and collaborate with various departments to integrate analytics into client strategies.
As a Sr. Machine Learning Scientist, you will leverage advanced machine learning techniques to address complex challenges in data and technology infrastructure. Your role involves researching new methods, developing innovative machine learning models, and collaborating with various teams to implement solutions. You will also contribute to firmwide initiatives by creating scalable frameworks for machine learning applications.
Featured Jobs
Featured
Featured
The Machine Learning Scientist will apply advanced machine learning techniques to complex problems in Cybersecurity and Technology Infrastructure. Responsibilities include developing machine learning models, collaborating with partner teams, and contributing to reusable code and components. Researching new methods and enhancing existing frameworks are critical aspects of the role.
The Applied Scientist will use machine learning and data science to enhance the shopping experience via sponsored ads, collaborating with product and engineering teams. Responsibilities include developing predictive models, optimizing bidding and auction algorithms, and mentoring junior scientists while communicating findings to leadership.
The Senior Applied Scientist will lead the development and deployment of machine learning models to enhance the advertising experience for Chewy, optimizing product selection, ranking, and relevance. Responsibilities include collaboration with product and engineering teams, driving applied science solutions, publishing research, and mentoring junior scientists.
As Director of Data Science at Chewy, you will lead a team to enhance customer and advertiser experiences via advanced machine learning solutions. Responsibilities include model development, collaboration with product teams, publishing research, setting performance standards, and mentoring staff.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
The Vice President - Data Use Risk Lead will oversee the Data Use strategy and ensure compliance with legal and regulatory requirements. Responsibilities include developing data use standards, delivering training, monitoring project statuses, and communicating effectively with senior management regarding project updates and strategies.
As a Sr Data Scientist for Forecasting, you will develop and deploy predictive models for demand forecasting, inventory management, and supply chain optimization. Responsibilities include managing the full ML model lifecycle and collaborating with cross-functional teams. You will also mentor junior members and stay updated on machine learning technologies.
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing personalization projects and collaborating closely with product and modeling leads. The role includes mentoring engineers, developing prototypes, managing communication with senior leadership, and driving AI strategies to enhance product features and improve customer experiences.
As a Principal Scientist, you will lead the development of advanced software and analytical tools for processing and visualizing complex sensor data, specifically focusing on video analytics and image processing for the Air Force’s missile programs, working within a collaborative team environment.
The Manager, Data Integration and Modernization will lead teams to develop scalable data products and platforms while driving data engineering best practices. Responsibilities include designing data solutions, managing high-performing teams, collaborating for automation, and modernizing existing tech stacks in alignment with business strategies.
The Manager of Data Integration and Modernization leads the design and implementation of data platforms, focusing on scalable solutions, data engineering best practices, and collaboration with various teams to drive data strategy and modernization efforts.
The Data Architect will work with Data Product teams to guide data ingestion, engineering, and modeling, ensuring quality data products. Responsibilities include designing data architecture, collaborating with multiple teams, and implementing data quality standards, while driving innovation in data-centric solutions.
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.
As a Data Scientist Lead Consultant at Arity, you will develop and optimize machine learning algorithms to enhance the marketing platform using large datasets. Responsibilities include making key technical decisions, collaborating with cross-functional teams, and influencing business optimization strategies that drive revenue growth.
The Senior Manager, Data Science will lead and grow a team of skilled data scientists, partner with senior leaders to identify business opportunities, and build KPIs. This role involves driving analytics strategy, managing roadmapping and sprint planning, and delivering high-quality analytic insights and data-driven solutions.
The Lead Data Science Analyst is responsible for executing analytical initiatives to address business problems using advanced analytics and machine learning. They create reports and dashboards, manage risks, analyze trends related to home loan servicing, and collaborate with partners to deliver insights and recommendations.
Top Companies Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
