Top Data Science Jobs

The Manager, Data Scientist role involves leveraging data science and machine learning to improve financial decision-making, collaborating with teams for product development, and analyzing large datasets.

The role involves leveraging technology stack for data insights, building statistical models, translating complex data work into business goals, and collaborating with a cross-functional team.

As a Senior Manager, Data Scientist - Applied AI, you'll lead a team to develop AI-powered financial products, utilizing machine learning and data analysis to enhance customer interactions with Capital One.

As a Data Scientist, you will partner with teams to develop machine learning models, analyze data, and translate insights into business goals.

Manage data science initiatives to develop machine learning models and collaborate with cross-functional teams for data-driven solutions, focusing on customer-centric innovation.

As a Data Scientist, you'll leverage data to drive corporate strategy by building machine learning models and collaborating with cross-functional teams.

The Data Scientist develops analytics capabilities and automates data capture to enhance engineering excellence, system efficiency, and maintain data quality.

The Data Scientist will focus on data cleaning, dashboard development, and applying AI/ML models for unstructured data analysis. They will also conduct routine data quality checks and ensure data visualization.

This role involves leading data science projects, developing machine learning models, collaborating with stakeholders, and mentoring other data scientists.

As a Data Scientist, you will develop machine learning models, partner with cross-functional teams, and leverage technologies to provide insights from data for business applications.

As a Data Scientist, you'll develop analytic solutions, lead client engagements, create predictive models, and deliver insights for TransUnion's clients. You'll also work with cross-functional teams and clients, enhancing business initiatives in various industries.

As a Forward-Deployed Data Scientist II, you will collaborate with customers to define use cases, improve data pipelines, and advance ML models while providing technical expertise for successful customer outcomes.

Collaborate with customers on data science projects, improve ML model architectures, and support product strategy in a client-facing role.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The Data Scientist will innovate using ML technologies to analyze data, build models, and create scalable solutions while collaborating with cross-functional teams.

The Data Scientist Manager leads a team in assessing model risks, developing machine learning models, and presenting insights, while leveraging various technologies.

The Data Scientist will evaluate new data sources, enhance model governance, develop analytical tools, and collaborate with teams to support decision-making and operational efficiency.

The AI/ML Data Scientist will develop and deliver innovative AI/ML solutions, train models, collaborate with business partners, and communicate findings effectively.

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

As a Staff Data Scientist, you will lead the development and integration of AI/ML models for performance management, focusing on statistical analysis, data modeling, and collaboration with engineering teams.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

The Staff Data Scientist will drive business strategy through predictive insights, collaborate across teams, and develop solutions to enhance products and reduce losses.

As a Principal Associate in Data Science, you'll leverage technologies to build knowledge graphs, develop modeling algorithms, and collaborate with cross-functional teams to combat fraud in customer banking.

In this role, a Data Scientist will collaborate with various teams to implement AI-driven solutions, develop machine learning models, and drive business value through data insights.