Top Data & Analytics Jobs

As a Lead Data Science Engineer, you will lead a team to develop and implement advanced machine learning models, collaborate with cross-functional teams, and drive innovative data-driven solutions in the Sportsbook industry, influencing strategic decisions and enhancing user experiences.

As a Part-Time Student in Data Science and Analytics at John Deere, you will lead and support analytics projects, clean and analyze data sets, and present findings to stakeholders. This role requires collaboration with a fast-paced team to deliver actionable business insights.

As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures to enable real-time pricing markets. Responsibilities include designing data architectures, creating end-to-end data science pipelines, and collaborating with various teams to ensure data quality and reliability.

The Sr. Analyst Relations Manager will enhance Databricks' visibility in the market by developing an analyst relations program. Responsibilities include building relationships with key industry analysts, managing analyst requests, and staying updated on industry trends to inform product strategies. The role collaborates with internal teams to coordinate analyst engagement and support marketing activities.

As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.

The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.

As a Data Science Lead in HR Data & Analytics, you will conduct analyses of HR and business data to provide actionable insights. You'll design and implement analytical models, collaborate with users to understand requirements, develop solutions, and guide junior team members. Your role will include ensuring data quality and adhering to compliance policies.

The Staff Data Science Tech Lead will design and implement advanced algorithms using machine learning to analyze data from the WHOOP wearable. Responsibilities include collaborating with various teams to develop member-facing features, conducting research, mentoring junior data scientists, and maintaining production services.

Lead a team of analysts in Global Data Science, focusing on innovative solutions using Visa's vast data set. Engage with internal and external partners to address strategic business questions, develop visualizations, and create custom data models. Drive product optimization and improve business strategies through predictive modeling and data analysis.

As a Senior Data Scientist, you'll apply data science techniques to enhance sales and account management, develop predictive models, analyze experiments, and mentor junior team members while collaborating with cross-functional teams to drive data-informed decision-making.

The Data Science Associate Consultant will develop advanced algorithms, utilize statistical and data mining techniques, collaborate with clients, and assess emerging datasets and technologies. They will contribute to thought leadership and mentor junior team members.

As a Data Science Associate Consultant, you will develop advanced algorithms to solve complex problems, utilize machine learning and statistical techniques to uncover insights, collaborate with clients to present findings, and contribute to thought leadership through research. You will also mentor junior team members and engage in the assessment of new datasets and technologies.

As a Principal Associate in Data Science, you'll build machine learning models, collaborate with cross-functional teams, and leverage various technologies to analyze large data volumes. You'll own the complete model life cycle and push for innovative solutions that enhance the decision-making process in credit card customer management.

As a Manager of Data Science at Capital One, you will leverage advanced computing and machine learning technologies to extract insights from large datasets. You will work with cross-functional teams to build and implement data-driven solutions, manage machine learning model development, and communicate complex concepts to stakeholders.

As a hands-on Data Science Manager, you will lead a team to develop advanced machine learning models focused on credit risk and lending. You will oversee the deployment of innovative solutions, collaborating across departments to enhance financial inclusivity and improve credit assessment accuracy, while managing a cross-functional team and driving strategic initiatives.

As a Senior Associate in Data Science, you will leverage generative AI and machine learning to analyze unstructured data, enhance customer experience, and improve model pipelines while collaborating with various teams.

The Data Science Lead will enhance the investment process in asset management using NLP and machine learning. Responsibilities include collaborating with stakeholders, developing advanced ML solutions, curating datasets, monitoring model performance, and presenting results.