Top Data & Analytics Jobs

In this role, you will leverage strong test automation skills in Java or Python to test large-scale production systems. Responsibilities include scoping project requirements, building test cases, testing AI/ML models, analyzing test results, and reporting defects.

The Lead Data Scientist will drive growth through data science by analyzing user behavior, creating attribution models, and developing marketing experiment frameworks. Responsibilities include informing acquisition strategies, building dashboards for monitoring trends, and mentoring junior data scientists.

The Sr Data Scientist role focuses on providing advanced analytical capabilities and solutions for data science initiatives. Responsibilities include developing predictive models, employing machine learning algorithms, creating insightful reports, leading projects, and collaborating with team members while maintaining industry knowledge and best practices.

As a Business Manager and Advertiser Coupon Alert Analyst at Capital One Shopping, you will develop and implement business strategies to drive growth, lead product-level modeling, and manage marketing efforts. You will collaborate closely with various teams to improve service and profitability while leveraging your analytical skills to solve major company challenges.

As a Senior Data Engineer at Babylist, you will enhance data platforms, focusing on building and scaling Machine Learning pipelines. Collaborate with cross-functional teams to deliver data-driven solutions that support product growth and innovation. An emphasis on robust, production-grade coding is essential.

As a Senior Strategic Analyst at Acrisure Innovation in Austin, TX, you will be responsible for delivering data-driven insights and recommendations to drive growth across financial services verticals. Your role includes partnering cross-functionally, conducting exploratory data analysis, developing models, and enabling self-service analytics. You will play a key role in shaping the analytics competency and optimizing performance for key corporate initiatives.

The Machine Learning Engineer will develop advanced algorithms for airspace security and computer vision tracking software. Responsibilities include writing and optimizing Python code, deploying computer vision algorithms, and collaborating with academic partners and industry experts.