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11 Hours Ago
Columbia, MD, USA
Remote
390 Employees
Mid level
390 Employees
Mid level
Database • Analytics
The Lead Marketing Data Scientist will analyze client needs, customize business processes, and develop analytics tools to provide insights into customer acquisition and business performance. Responsibilities include statistical analysis, predictive modeling, and working with large data sets, while collaborating with clients and teams.
11 Hours Ago
OR, USA
Remote
390 Employees
Senior level
390 Employees
Senior level
Database • Analytics
The VP of Market Expansion will identify and engage next-generation Tier 1 prospects, coordinating with sales and growth teams to establish relationships, determine key opportunities, and secure multi-million dollar deals. The role involves innovative sales strategies, market penetration, and customer success while maintaining a robust pipeline for new opportunities.
11 Hours Ago
New York, NY, USA
390 Employees
Mid level
390 Employees
Mid level
Database • Analytics
The Data Scientist will generate insights and build machine learning and deep learning models, collaborating with various teams to develop data-driven solutions for improving patient engagement and medication adherence. Responsibilities include writing complex SQL queries, performing data quality assessments, and mentoring peers.
11 Hours Ago
Columbia, MD, USA
390 Employees
Mid level
390 Employees
Mid level
Database • Analytics
The Lead Analyst will execute Google Analytics implementations, ensure accurate data collection, resolve issues in tracking and reporting, configure server-side implementations, and collaborate with teams to meet business objectives. This role involves developing measurement plans, testing, and creating reports to provide insights.
11 Hours Ago
Wilmington, DE, USA
Remote
390 Employees
Mid level
390 Employees
Mid level
Database • Analytics
The Product Manager will define product strategy through research, collaborate with teams to enhance customer experience, articulate product vision and requirements, and improve processes. Additionally, they will remain updated on industry trends to recommend enhancements.
11 Hours Ago
Columbia, MD, USA
Remote
390 Employees
Senior level
390 Employees
Senior level
Database • Analytics
The Senior Decision Architect will design and implement strategies and models in Pega Marketing, ensure system compatibility, transition clients to the latest Pega build, monitor operations for issues, and collaborate on decision platform expansion. Responsibilities also include creating and updating decisioning components and strategies.
11 Hours Ago
New York, NY, USA
390 Employees
Senior level
390 Employees
Senior level
Database • Analytics
The Sales Lead will identify business opportunities and build relationships with a Fortune 100 client's organization. Responsibilities include collaborating with experts to pitch services, managing a structured sales process, writing proposals, negotiating pricing, and ensuring client engagement for growth.
11 Hours Ago
Columbia, MD, USA
Remote
390 Employees
Senior level
390 Employees
Senior level
Database • Analytics
The Global Partnership Lead will enhance and expand strategic partnerships with industry leaders like AWS and Databricks. Responsibilities include developing relationships, enabling sales, overseeing partner operations, tracking performance, and representing the company at events. The role requires significant experience in managing technology partnerships to drive growth and revenue.
11 Hours Ago
New York, NY, USA
Remote
390 Employees
Senior level
390 Employees
Senior level
Database • Analytics
The UX Lead will create compelling customer experiences in e-commerce, focusing on journey mapping and improving interactions. Responsibilities include analyzing customer behavior, leading research processes, designing prototypes, and collaborating on product enhancements using design methodologies.
11 Hours Ago
Columbia, MD, USA
390 Employees
Senior level
390 Employees
Senior level
Database • Analytics
The Solutions Architect will design and integrate marketing, advertising, and customer experience technology solutions, solve complex data challenges, provide technical leadership, and ensure robust systems integration across various platforms while mentoring developers and maintaining comprehensive documentation.
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