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.
Featured Jobs
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.
As an Associate Brand Protection Analyst, you will assist in the takedown of fraudulent websites, social media profiles, and infringing listings on e-commerce sites. Responsibilities include being a primary point of contact for clients, analyzing website content, communicating with e-commerce sites, and reviewing enforcement reports.
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.
Lead Quality Analyst overseeing QA Analyst group and release management of mobile products. Ensure no errors in mobile software through rigorous testing and adherence to QA procedures. Responsible for test design, execution, maintenance, and closure.
The Researcher (Temporary) at Warner Bros. Discovery will be responsible for finding and researching story ideas and guests, fact-checking information for the show, assisting in research for columns and blog posts, suggesting stories, and performing quality control checks on the show.
Passionate Technical Program Manager with experience in data solutions. Responsible for driving end-to-end data solutions and partnering with engineering teams. Excellent communication and leadership skills.
Design and develop data models in Snowflake with DBT, write advanced SQL queries for ELT and data warehousing, collaborate with business partners, promote self-service reporting, and ensure data governance and privacy standards.
The Lead HRIS Analyst at Dynatrace will focus on enhancing people processes and technology, consulting on strategic plans, optimizing digital HR platforms, and positively influencing future digital experiences through the company's People and Culture systems.
Lead teams to drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders across Capital One. Partner with cross-functional teams to deliver AI-powered products and engage in high-impact applied research to enhance customer experiences. Build AI foundation models using a variety of technologies.
Principal, Data Scientist role at Capital One in the US Card Acquisitions team. Responsibilities include leading the development of machine learning models, collaborating with cross-functional teams, leveraging various technologies to extract insights from data, and translating complex work into business goals.
Partner with a cross-functional team to deliver a product customers love, leverage a broad stack of technologies to reveal insights within large volumes of data, and build machine learning models through all phases of development.
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