Top Hybrid Data & Analytics Jobs

Lead the development and implementation of analytical capabilities and applications, creation of machine learning models and pipelines, development of personalization services, technology proof of concept projects, standardization of machine learning algorithm framework, collaboration with Data Scientists and Analysts, addressing complex technical challenges, analysis of data for insights, and mentoring junior engineers.

Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, building machine learning models and pipelines, overseeing technology projects, standardizing machine learning framework, analyzing data for insights, and mentoring junior engineers.

Lead Machine Learning Engineer responsible for developing analytical capabilities, machine learning models, and data products/services for a healthcare marketplace. Collaborate with data scientists, analysts, and mentor junior engineers. Requires 7+ years of experience in building machine learning systems at scale with expertise in Python, Scala, Golang, AWS, GCP, Azure, Databricks, Apache Spark, and deep learning frameworks.

Join our Data Engineering team and lead projects end-to-end to build analytical products and make data-driven decisions at scale. Create tools and software frameworks to support engineers and end users. Drive improvements and ensure the usability of analytical data.

Primary liaison for the Global Data Management Team in implementing cutting-edge Data Orchestration solutions, specifically leveraging PEGA and integrating with S4 systems. Responsible for planning and executing Data Orchestration initiatives, managing strategy and technology capabilities through PEGA CoP Framework, and partnering with other teams to ensure seamless integration of data processes and systems.

The Smart Behaviors AI Co-op position involves working with diverse datasets, implementing AI methods, maintaining databases, documenting results, and providing statistical evaluations. The role requires pursuing a degree in Data Engineering or Data Science, knowledge of research methodologies, experience in generative AI and VLMs, proficiency in Python, MATLAB, and/or R, and high organizational skills.

As a Senior Data Analyst at Square Banking, you will partner with cross-functional stakeholders to gain insights into customers, drive data-informed decisions, and deliver a remarkable cash flow home experience. Responsibilities include identifying key analytics questions, influencing product roadmap, optimizing funnels, and communicating with high-level partners.

As an Associate Brand Protection Analyst with Korean fluency, you will assist in the takedown of fraudulent websites, social media profiles, and infringing listings. Responsibilities include analyzing content, communicating with clients and e-commerce sites, and providing strategic recommendations.

Seeking a passionate individual for the role of Associate Detection & Response Analyst in a hybrid position at Rapid7's Security Operation Center in Arlington, VA. Responsibilities include investigating and triaging high priority security events, writing incident reports, and contributing to threat detection services. The role requires a passion for cybersecurity, problem-solving skills, critical thinking, and shift work availability.