Top Data & Analytics Jobs

Lead and execute HEOR strategy, derive insights from health datasets, manage a team, and communicate findings to enhance patient outcomes and reduce healthcare costs.

As a Lead Data Scientist, you'll build and improve models for credit risk, customer churn prediction, and optimize marketing spend, while collaborating with cross-functional teams.

Develop and maintain models to identify credit risk, predict customer churn, and optimize marketing spend. Collaborate with Product and Engineering teams.

The Quantitative Research Analyst will analyze financial data, develop investment models, and assist in portfolio construction while employing data science techniques.

As a Data Science Platform Engineer, you will build frameworks for predictive models, expand NLP analysis, and develop Java applications, while collaborating with the data science team.

The Manager, Data Science role focuses on leveraging machine learning and analytics in a financial services environment, partnering with cross-functional teams to impact customer-centric product development.

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.

Lead the development of CMC portfolio analytics and insights, build a high-impact team, and establish data-driven decision-making strategies in the pharmaceutical industry.

The Director of Digital Analytics will lead data strategy and manage analytics teams, ensuring effective execution of business intelligence and digital data initiatives.

Lead AI strategy and adoption within the organization, foster internal collaboration, measure impact and success of AI initiatives.

Lead a team to enhance data-driven decision-making through statistical and machine learning models while engaging with various stakeholders for model strategy and risk assessment.

Drive data science vision and strategy to improve marketplace quality by detecting issues like counterfeits and fulfillment delays through advanced machine learning techniques.

The Manager, Business Analytics will lead the development of data science solutions, consult with clients, and mentor junior team members while analyzing large datasets to drive business insights.

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.

Lead a high-performance Data Science team at Pinterest, driving data democratization, ensuring data integrity, and translating business needs into analytical solutions.

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

Responsible for developing and executing underwriting guidelines and rating rules for personal auto insurance, ensuring compliance and alignment with business goals.

The Manager in Marketing Analytics will lead analytics projects, build client relationships, manage teams, and guide strategic consulting for key clients.

Lead global Biostatistics for CVRM, driving strategy, team development, and collaboration with internal and external stakeholders to enhance study design and insights generation.

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

As a Data Scientist, you will solve GM's challenges using AI and machine learning, developing models and delivering insights via UI applications.

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

The Data Scientist 3 role involves analyzing large datasets, developing qualitative and quantitative methods, and communicating technical insights to non-technical audiences, requiring significant experience in data science and programming.

The Data Scientist will develop strategies to extract insights from large datasets, implement data analysis methods, and communicate findings to both technical and non-technical audiences, requiring advanced knowledge in various data and statistical methodologies.