Top Data & Analytics Jobs in Baltimore, MD

The Client Analytics Partner develops data-driven strategies, translating complex data into actionable insights, and collaborates with clients to enhance campaign performance through analytics and reporting.

As a Senior Data Scientist, you will lead machine learning model development, implement Generative AI solutions, and analyze data to drive business outcomes.

Responsible for optimizing marketing operations, managing CRM tools, ensuring accurate lead management, and reporting using analytics tools for clients' campaigns.

The Insights Associate develops and delivers data-driven insights for clients, collaborating with sales and marketing teams to inform business decisions based on data analysis and research.

As a Marketing Business Intelligence Analyst, you will create dashboards, analyze marketing data, and provide actionable insights to drive revenue growth.

The SVP, Insights leads data analytics strategy, overseeing measurement and insights teams, improving products through data insights, and collaborating across departments.

Lead a team of data scientists to drive user growth at Reddit by providing strategic insights and optimizing product development through analytics collaboration.

Analyze caller behavior data and develop reports using SQL and Tableau. Collaborate with stakeholders to enhance IVR experiences through data-driven insights.

The Staff Data Scientist will develop machine learning models to drive business growth and improve customer financial situations, collaborating with various teams to implement models and strategies.

Lead machine learning modeling work on the Empower Credit Card product, building predictive models to enhance business decision-making and customer financial outcomes.

The Senior Data Scientist will develop machine learning models to drive business growth and improve credit risk assessments for Empower's financial products.

This role involves developing statistical tools and machine learning models for enhancing semantic search, query understanding, and generative AI applications, collaborating with product teams and engaging with the NLP community.