Top Data & Analytics Jobs

Lead the development of a comprehensive CRE forecasting infrastructure, integrating traditional econometric methods with AI, managing a team, and driving analytical product innovation.

The Information Architect designs and maintains enterprise data architecture, ensuring semantic consistency and interoperability to support analytics and AI capabilities, while collaborating with business and tech teams.

The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.

Lead enterprise data architecture and modeling efforts, guide data federation and authoritative sources, collaborate with analytics and implementation teams, and design and implement scalable data solutions while ensuring best practices and stakeholder communication.

Lead design, development, validation, and deployment of scalable NGS bioinformatics workflows for regulated diagnostics. Drive assay study design, ML/statistical evaluation, regulatory compliance, documentation, and mentor junior team members.

The Senior Manager will lead operations research and analytics development, focusing on designing and implementing technical solutions, mentoring juniors, and leveraging AI tools to improve engineering practices.

The Chief Data Officer will lead the enterprise-wide data strategy, ensuring data quality and governance while driving AI initiatives and business value.

The Director, Customer Insights & Engagement will lead analytics and market research for the US Thoracic business, focusing on data-driven decision-making and stakeholder collaboration to enhance insights and performance.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Inceptive seeks candidates for research in biological software, collaborating with a multidisciplinary team to design accessible medicines and biotechnologies.

The Analyst will consult for talent and manage projects within the UTA Creators Team, utilizing data science and machine learning to provide insights and solutions in the creator economy.

As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning, while collaborating with a research team.

Develop and implement algorithmic trading strategies using statistical models and machine learning, analyzing large data sets to predict market movements.

Develop and implement algorithmic trading strategies using statistical models and machine learning to analyze and predict market movements while collaborating in a research team.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The GLDP Associate program offers hands-on experience in data analysis and engineering through cross-functional rotations and projects, preparing candidates for future roles at ASP.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

Develop predictive models using data science and machine learning, work with data preparation and cloud resources, and solve complex problems.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Assistant Director for Graduate Studies in Data Science advises master's students, assists in admissions, teaches courses, and collaborates on curriculum development.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Marketing Data Scientist will apply advanced analytics and machine learning to drive marketing strategies, focusing on connecting digital engagement to physical outcomes. Responsibilities include experimentation, reporting, predictive modeling, and collaboration with stakeholders for business insights.

The BTS Process Analyst develops and maintains e-record management workflows and supports cross-functional collaboration and compliance within the Business Technology Solutions team.

Develop cloud-based data solutions for precision marketing to healthcare practitioners. Collaborate with brand teams to ensure effective data delivery and analysis.