Top Data & Analytics Jobs

As a Principal Associate, Data Scientist, you will partner with cross-functional teams to create customer-centric products, leveraging machine learning and data analytics to derive insights. You'll engage in all phases of model development from design to implementation, using technologies like Python and AWS, and applying statistical techniques to solve complex problems.

The Staff Data Scientist will develop AI-driven models impacting business decisions at Chewy. Responsibilities include full model development lifecycle, partnering with various teams, and communicating insights to non-technical stakeholders. The role involves advanced mathematics, machine learning techniques, and generative AI solutions in marketing applications.

The role involves leading AI and GenAI data science projects, mentoring team members, and engaging with clients to deliver data-driven solutions. You will analyze business processes, develop AI solutions, and manage both structured and unstructured data for AI applications, focusing on quality and effective collaboration.

The Principal Data Scientist will conduct research and develop machine learning models, refine integration patterns for ML technologies, and collaborate with product and engineering teams. Responsibilities include building models, running experiments to improve customer experiences, and analyzing large datasets using various tools.

The Principal Data Scientist will collaborate with a cross-functional team to deliver AI-powered products, leveraging technologies like Python and AWS for data analysis and model deployment. Responsibilities include working with the machine learning lifecycle and translating complex data insights into business solutions.

As a Senior Data Scientist in Consumer Identity ML, you will explore customer behavior patterns using billions of clickstream events, develop real-time models to enhance customer experiences, and ensure the accuracy of customer data while collaborating with engineering and product teams. You will also build scalable machine learning models and conduct experiments to improve business outcomes.

As a Senior Data Scientist at Capital One, you will analyze customer behavior patterns and develop real-time machine learning models to enhance customer experiences and prevent fraud. You will work across phases of the data science lifecycle and collaborate with various teams to improve business outcomes.

The Principal Associate, Data Scientist will collaborate with a team to deliver customer-centric data products, build machine learning models, and leverage various technologies to analyze large datasets, ultimately improving customer outcomes.

The Senior Associate Data Scientist will work with the Bureau Data Strategy team to leverage diverse technologies to analyze credit bureau data, develop machine learning models, and collaborate with cross-functional teams to drive insights that impact business strategies.

The Vice President of Data Science Research leads the research organization in developing innovative methods for cancer screening, manages resources and staff, fosters collaboration, and aligns team objectives with company goals, leveraging extensive experience in data science and machine learning.

As a Senior Associate Data Scientist, you will collaborate with a cross-functional team to build machine learning models that help detect money laundering and fraud. You'll utilize Python, AWS, and Spark to analyze large datasets, develop predictive models, and deliver actionable insights. Additionally, you'll contribute to the end-to-end model development process, translating complex statistical work into business value.

As a Principal Data Scientist, you will partner with a team to deliver AI-powered products, leveraging technologies like Python and AWS. Your focus will be on working through the machine learning lifecycle, analyzing large datasets, and translating complex data insights into business solutions.

Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.

As a Data Scientist in the Fraud Intelligence team, you will collaborate with data scientists, engineers, and product managers to build machine learning models that protect customers from fraud. You will leverage various technologies to analyze large volumes of data, develop models, and translate complex data insights into business objectives.

The Data Scientist will partner with cross-functional teams to deliver products using Python, AWS, and machine learning technologies. Responsibilities include developing credit bureau data expertise, creating features from data, performing deep dives into analysis, and improving infrastructure while presenting insights to senior leaders.

As a Data Scientist at Capital One, you'll build and manage machine learning models to protect customers from fraud. Collaborating with a cross-functional team, you will utilize your technical skills to analyze large datasets, translate complex data into understandable insights, and contribute to creating customer-friendly products.

Join Capital One as a Principal Data Scientist focusing on loss forecasting modernization and building predictive models for consumer credit risk management. Partner with a team to deliver innovative solutions using the latest technology and machine learning algorithms.