Top Data Science Jobs

The Data Scientist will develop and deploy ML models, automate workflows, and handle unstructured data while communicating effectively with stakeholders. A strong background in ML, programming, and business acumen is required.

The Data Scientist will define success metrics for recruiting systems, design measurement frameworks, and translate signals into impactful decisions while collaborating with Product and Engineering teams.

The Senior Director & Data Scientist will lead a team to use advanced statistical techniques and machine learning models, communicating insights to drive decision-making and enhance competitive advantage in the insurance market.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

The Data Scientist I will develop machine learning solutions, analyze large datasets, and collaborate with cross-functional teams to drive growth.

Develop decision support systems, conduct statistical experiments, analyze data to uncover insights using advanced modeling techniques, and communicate findings to stakeholders.

The role involves developing methods to understand user interactions, running A/B testing, identifying product improvement opportunities, and collaborating on ML frameworks for ride-hailing services.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Data Scientist will analyze datasets using AI algorithms and statistical techniques, develop data strategies, and present findings to leadership.

The Predictive Modeler/Data Scientist will analyze data, develop predictive models, and support strategic business decisions through quantitative research and machine learning projects.

The Data Scientist will improve data quality, develop automated reporting solutions, and apply machine learning to support CMS in fraud detection.

Lead data science projects focused on fraud risk management for Large Enterprises, leveraging data models and analytics to optimize decisions and enhance customer experience.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.

As a Data Scientist, you will design and deploy models, automate workflows, and derive insights from large datasets to support political strategy.

The Data Scientist will develop and deploy machine learning models to improve manufacturing and supply chain processes, leveraging enterprise analytics platforms.

The Data Scientist II will leverage machine learning and location intelligence to develop AI solutions, collaborating with clients to address unique challenges and integrating with GIS workflows.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

The Manager & Senior Data Scientist will lead data science initiatives, manage projects, evaluate data, and mentor junior staff while improving analytical models and processes.

The role involves leveraging data science and AI to generate business insights, develop predictive models, and mentor team members. Responsibilities include project management, deploying ML pipelines, and enhancing client solutions.

The Senior Data Scientist will architect analytical frameworks, develop metrics, influence product strategies, and ensure data quality for product intelligence.

The Senior Data Scientist will develop predictive models, enhance algorithms, and collaborate with stakeholders to implement AI products while ensuring data quality and model performance.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

The Senior Data Scientist will enhance decision-making quality at Lyft, guiding teams on analytics, building frameworks, and working cross-functionally to improve operational efficiency with data-driven insights.

The Senior Data Scientist will lead initiatives to enhance decision-making quality by implementing analytical frameworks and collaborating cross-functionally to drive operational efficiency and business outcomes.

The Data Scientist at Cantina will define success metrics, analyze data, build models, and foster a data-driven culture across teams.