Top Hybrid Senior Level Data & Analytics Jobs
The Senior Global Marketing Research Analyst designs and executes research studies to analyze consumer preferences and market trends. Responsibilities include presenting findings, managing third-party research agencies, and collaborating with various teams to inform marketing and product strategies based on data-driven insights.
Design, build, and deploy complex systems to model and glean insights from large datasets using machine learning and statistical modeling. Collaborate with cross-functional teams to implement data-driven solutions. Apply innovative machine learning techniques to solve complex problems in adtech.
The Senior Oil Refining Analyst/Modeller at Kpler will enhance existing tools and develop new models for refinery activity analysis. Responsibilities include conducting complex analyses, producing market insights, collaborating with sales and technical teams, and communicating findings through reports and presentations.
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In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
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Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
The Senior Analytics Architect will lead data and analytics strategy, manage projects, mentor teams, and develop analytics solutions to support decision-making and business objectives. Responsibilities include overseeing data infrastructure, delivering business-critical analytics, and aligning data strategies with business goals.
As the Lead Data Scientist, you will develop measurement frameworks, publish clinical studies, solve cross-functional problems, and educate the team on data analysis. You will manage large datasets, conduct statistical analyses, and integrate health data to improve the health outcomes of Medicare members.
As a Senior AI Research Scientist, you will apply machine learning and forecasting techniques to accelerate the decarbonization of electricity systems, conduct applied research, develop broad solutions for energy markets, mentor engineers, and publish findings in academic venues.
The Sr. Director, Analytics will lead teams in planning and executing analytics strategies for media and marketing, develop measurement frameworks, and communicate insights based on data analysis. This includes optimizing marketing spend and delivering timely analyses to clients and stakeholders to drive business results.
The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.
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