Top Data & Analytics Jobs

The Director oversees the Analytical Workbench, drives data-driven decision-making, and collaborates with stakeholders to enhance analytics solutions.

The Director of Data & Analytics leads strategy for data and analytics, implementing AI solutions, managing teams, and ensuring data quality and governance.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

Lead a team of data scientists to analyze auction dynamics in ads marketplace, leveraging data to inform product strategy and execution.

Lead a data science team focused on advertising growth, providing actionable insights, managing projects, and mentoring staff while collaborating cross-functionally to drive business value.

This role involves analyzing data, using statistical tools, and visualizing data insights while managing multiple tasks and communicating findings clearly.

Lead a team in the Demand Planning process to develop forecasts that inform financial planning and supply chain operations, collaborating with cross-functional teams and driving continuous improvement.

The role involves executing research projects, collaborating across teams, managing client relationships, developing financial models, and supporting strategic decisions in global markets.

Lead the GenAI Digital Assistant team in research and development of AI powered digital solutions, utilizing LLMs and NLP techniques to enhance customer experiences.

The Director of Consumer Data Science will lead the development and deployment of machine learning models for consumer mobile applications, collaborating across teams to optimize business outcomes.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Director of Marketing Analytics leads efforts in measuring marketing effectiveness, providing data-driven insights, and collaborating with cross-functional teams to drive customer acquisition and retention strategies.

The Senior Actuarial Assistant will lead moderate to complex analysis in risk insights, collaborate with product teams, and communicate results while managing projects in a fast-paced environment.

As a Lead Machine Learning Engineer, you will design systems utilizing AI/GenAI for better decision making in a sports retail environment, overseeing architecture and model deployment, optimizing performance, and collaborating across teams.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

Seeking a professional with expertise in statistics and data analytics for game development, particularly in user research and machine learning.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead the Data Science Platform, building predictive models for drug acquisition, optimizing portfolios, and collaborating with engineering teams for scalable systems.

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

The Actuarial Leadership Development Program intern will gain exposure to actuarial assignments in various business lines, interact with management, and receive valuable on-the-job training.

Lead the data science strategy, overseeing advanced analytics delivery, stakeholder influence, and driving innovation while promoting ethical AI practices.

Join Wizard's talent pool to innovate in AI and machine learning. Engage in building personalized shopping assistants and improve consumer experiences.

The Manager of Data Science leads efforts in fraud prevention, leveraging machine learning and data analysis while collaborating with cross-functional teams to implement effective strategies.