Top Data Science Jobs

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

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

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

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

Lead data science initiatives, mentor junior scientists, and apply machine learning to influence enterprise decision-making and improve business outcomes.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Senior Data Scientist, you'll develop predictive models and machine learning solutions to drive customer acquisition, engagement, and retention strategies that influence Airwallex's growth.

The Principal Data Scientist will lead marketing analytics initiatives, enhancing measurement methodologies, mentoring junior scientists, and collaborating across teams to drive business impact.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.

As an AI Data Scientist at Deutsche Bank, you will utilize LLM approaches for data analysis, develop embedding pipelines, and automate functional decomposition for complex business data analysis.

As a Lead Data Scientist, you will analyze complex data sets, mentor a team, develop predictive models, and lead data science solutions for clients on global challenges across various sectors.

As a Data Scientist, you will design and deliver complex predictive models, communicate insights, and mentor less experienced talent while solving key business challenges using advanced statistical techniques and machine learning.

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

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

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.

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

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

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 Data Scientist designs and deploys advanced analytics and machine learning models to improve healthcare outcomes, collaborating with teams, ensuring data quality, and communicating insights effectively.

As a Junior Data Scientist, you'll build and evaluate ML models, develop analytics reports, and collaborate on AI product features while working with SQL and cloud platforms.

The Staff Data Scientist will lead data science projects focused on fraud detection, analyze complex datasets, and mentor junior scientists while driving strategic initiatives.

The Senior Data Scientist will drive revenue optimization through experimentation, data modeling, and pricing intelligence, partnering with product and finance teams to deliver insights and recommendations for pricing strategies.

The Data Scientist II role involves developing scalable analysis frameworks, building monitoring systems, enhancing data pipelines, and facilitating model improvements for customer success while collaborating across teams.