Top Hybrid Data Science Jobs in Atlanta, GA
The Lead Data Scientist will design and implement advanced analytics, manage third-party data scientists, develop data pipelines for ML/AI workflows, conduct statistical analyses, and drive automation in data processing. This role includes guiding junior members and continuously evaluating new technologies for improved data solutions.
The role involves leveraging advanced analytics to extract insights from large datasets, leading teams in AI and GenAI solution development, managing project execution, mentoring team members, and ensuring adherence to professional standards. It requires collaboration with clients to identify problems and design effective AI architectures.
The Senior Data Scientist will collaborate with a cross-functional team to design, develop, and deploy analytic models and high-impact data solutions in motorsports, leveraging machine learning and AI to support race teams. Responsibilities include analyzing and preprocessing diverse data, building predictive models, and presenting findings through visualization techniques.
The Staff Data Scientist will focus on advanced marketing analytics, developing audience targeting methods to improve precision in identifying customer segments. Responsibilities include leading model creation, enhancing data integration, and optimizing marketing strategies by applying complex data-driven techniques, collaborating with technical teams, and ensuring effective communication of insights across stakeholder levels.
Featured Jobs
As a Data Scientist on Square's Payments Platform team, you'll leverage analytics, machine learning, and engineering to improve payment processes. Your role includes designing metrics, leading experiments, building ETL pipelines, and collaborating with cross-functional teams to optimize payment efficiency and drive data-driven decision making.
As a Data Scientist at Feedzai, you'll manage and analyze client data, utilizing programming skills in Python, Java, and Scala to preprocess and clean data. You'll develop and tune machine learning models, collaborate with clients and internal teams, and communicate findings to enhance risk management solutions.
Responsible for leading and participating in the design, development, and maintenance of software applications, focusing on cloud native solutions. Collaborate with cross-functional teams to enhance data-driven features, improve user engagement, and mentor junior engineers while maintaining high coding standards.
Top hybrid Companies in Atlanta, GA Hiring Data + Analytics Roles
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