Top Data & Analytics Jobs

The Quantitative Researcher will analyze private credit markets using statistical models, conduct data analysis, and communicate insights to support investment teams.

Manage pricing strategy for fantasy sports markets, lead a team, develop pricing models, collaborate cross-functionally, and ensure data integrity.

The position involves teaching Mathematics primarily and may include mentoring undergraduate research. Faculty are expected to contribute to service-related activities as needed.

Assist in developing data science models, support data analysis, ensure data quality, and collaborate with cross-functional teams. Perform basic statistical analysis and reporting while learning best practices in data science.

The CMC Portfolio Analytics & Insights Team Lead will lead a team that transforms CMC portfolio data into actionable insights, develop analytics strategies, and enhance data infrastructure and governance to support decision-making in a complex environment.

Lead the pricing science strategy to optimize revenue and profitability. Develop and implement pricing models and analytics for sustainable growth.

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.

The Vice President of Data and Analytics for Identity and Fraud will oversee data strategies, AI applications, and collaborate closely with various teams to align data initiatives with business goals.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

The Director, Payer Insights will lead analytics to support payer strategies, conduct assessments to improve access, and collaborate on pricing strategies using data-driven insights.

The AI Use Case Lead drives innovation through AI in pharma, aligning projects with business goals, from ideation to implementation, collaborating across teams.

The Director, Data Discovery Services will oversee data marketplace services, enhance data discoverability, and collaborate with stakeholders to design effective data solutions.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

The Founding Data Scientist will design metrics, enhance data insights, collaborate on platforms, and communicate strategies for user safety.

The Technical Expert Panel Task Lead oversees advanced statistical analysis and project management, ensuring compliance with federal standards and facilitating collaboration among experts.

The Senior Manager leads the external data strategy for global credit markets, manages data projects, evaluates new data sources, collaborates with teams, and ensures compliance in data usage.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

The role involves executing data extraction, preparing reports, creating statistical and machine learning models, and managing marketing campaigns. Participants will rotate within analytics and develop management skills over a 24-month program at the bank.

The Senior Analyst will leverage data science to improve financial insights and support J.Crew's strategic initiatives. Responsibilities include data analysis, reporting, and collaboration with cross-functional teams.

Lead a data science team to enhance patient acquisition and retention through data-driven insights and experimentation, while collaborating with various departments.

As a Data Science Platform Engineer, you will enhance predictive models, develop tools for real-time predictions, expand NLP capabilities, and ensure production system performance within a collaborative team.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

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

The Principal Consultant will lead data-driven consulting projects in the Technology, Media, and Entertainment sector, develop analytics frameworks, manage client relationships, and provide high-end analytics solutions to enhance marketing effectiveness and business strategies.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.