Top Data & Analytics Jobs

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

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.

The Analyst will analyze credit risk using statistical methods, develop predictive models, and collaborate with team members on credit strategies. Responsibilities include data manipulation, qualitative and quantitative analysis, and project management.

The role involves applying machine learning and statistical methods to analyze user behavior at Twitch, driving insights from data collection to model development and collaborating with various specialists.

This internship focuses on analytics in healthcare, requiring candidates to work with AI, data manipulation, and complex data landscapes.

The VP, Data Science and Campaign Analytics will lead data-driven initiatives, develop predictive models, support campaign execution and analysis, and ensure compliance with analytics governance.

The Senior Scientist will develop data pipelines, analyze multimodal safety data, implement statistical models, and collaborate with multidisciplinary teams. Responsibilities include data management and visualization, alongside integration and interpretation of study outcomes to advance therapeutic solutions.

Manage analytic teams to develop reports and dashboards for data-driven decision making, ensuring data integrity and supporting multiple departments' BI needs.

The role involves leading data science initiatives, managing large datasets, developing predictive models, and building a high-performing analytics team.

The Senior Manager of Data Science will lead a team to develop AI systems utilizing LLMs and RAG architectures for legal applications, oversee technical execution, and drive strategy in AI-driven legal technology, while mentoring team members and collaborating with cross-functional teams.

The Principal Data Science role leads AI/ML strategy and delivery for pharma clients, involving advanced modeling and client engagement to drive business growth.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

Manage analytic teams to develop reports and dashboards for data-driven decision making, overseeing BI solutions and ensuring data integrity.

The DSLDP internship program aims to develop skilled individuals in data science, providing exposure to real-world projects, statistical modeling, data integration, and analytical solutions development.

Lead the development of production-grade analytics applications, define architecture and standards, and integrate AI capabilities into the platform. Manage cross-functional teams and deliver scalable analytics products for third-party users.

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.

Interns will engage in data science, engineering, and analytics roles, utilizing data to provide insights and improve decision-making processes for Chevron.

The Data Science Intern will assist the Data Science team, engage in impactful projects, analyze business problems, and enhance data visualization skills.

Responsible for building and operating data products for marketing analytics, including designing data pipelines, models, and ensuring data quality and security within a collaborative team.

As a Data Science Intern, you'll support data analysis projects by collecting data, performing analysis, and visualizing insights for decision-making while collaborating with various teams.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.