Top Data Science Jobs in Atlanta, GA

The Engineering Manager - Data Science Engineering will lead a team to develop, maintain, and evolve data streaming, production algorithms, and MLOps infrastructure at PrizePicks. Responsibilities include managing data stream architecture, collaborating with Data Science to operationalize assets, and ensuring the quality and scalability of model outputs.

As VP of Risk, you'll lead teams in Credit Analytics, Underwriting, Fraud and Collections, establishing a global risk strategy and collaborating with product and tech teams to enhance credit underwriting and fraud prevention. You'll drive actions on risk management, budget oversight, and compliance frameworks, while ensuring effective communication across departments and with external stakeholders, to support funding solutions for SMEs.

The Manager of Sales Engineering will lead a team of Sales Engineers, collaborating closely with sales teams, channel partners, and enterprise customers. Responsibilities include developing sales strategies, delivering presentations, solving complex problems, and managing the team’s operational needs.

As a Strategic Account Executive at Dataiku, you'll manage the entire sales cycle for a territory, engage with prospects and customers across industries, and collaborate with marketing, product management, and sales engineering teams. Your role focuses on customer-centric selling of Dataiku's AI platform, ensuring alignment with customer needs and competitive positioning.

The role involves leading a team of data scientists to develop AI-powered features to improve patient experience and streamline workflows in healthcare. Responsibilities include managing team goals, driving the execution of AI solutions, mentoring team members, and collaborating with stakeholders to enhance healthcare service delivery.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

The Senior Manager, AI/ML Engineering will lead a team of data scientists to develop, deploy, and maintain machine learning models and algorithms. Responsibilities include managing the team, collaborating with other functions, and ensuring continuous improvement of data products through data-driven decision-making.

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

As a Data Science Intern, you will collaborate with various teams to understand business goals and develop scalable data-driven solutions. You'll gain hands-on experience in analytics engineering, data insights presentation, and working on complex technical challenges to support business decisions.

The Lead Product Manager, Machine Learning will define the product roadmap and oversee the lifecycle of ML initiatives, collaborating with engineering and data science teams to enhance customer experiences and operational efficiency in healthcare delivery.

As a Conversation Designer at Cresta, you will develop high-quality AI conversation models and design conversational experiences for virtual agents in contact centers. This role involves collaborating with cross-functional teams and working directly with customers to customize AI solutions using Cresta's tools.

The Technical Communicator at Metabase will create educational materials such as tutorials, guides, and videos, collaborate with product teams, improve documentation, and lead webinars. The role requires strong technical expertise and experience in developing materials for technical audiences in data-related fields.

The Principal Engineer, Scrum Master will lead the development of digital products by translating business use cases into technical designs while ensuring adherence to architectural best practices and Agile methodologies. Responsibilities include guiding cross-functional teams, resolving technical issues, and defining technology integration scenarios.

Equilibrium Energy is seeking motivated individuals for future roles in software engineering, data science, energy trading, and product management. They promote a collaborative culture with opportunities for professional growth and include flexibility in work locations.

The Senior Director of Data Science will lead strategic initiatives to enhance monetization at Pinterest, fostering a high-performing team while managing talent development. Responsibilities include overseeing advanced analytics, collaborating with cross-functional teams, and ensuring alignment with business objectives to drive revenue generation and product success.

As an AI Tutor at Alignerr, you will enhance AI models' understanding of data science through teaching, evaluation, and resistance testing. Your responsibilities will include applying statistical methods, guiding machine learning applications, and fostering data ethics in AI. The role requires both technical expertise and a commitment to exploring AI advancements.

The Data Science Manager at Stripe will oversee and lead a team of data scientists, managing the roadmap and enhancing data-driven decision making across the company. Responsibilities include mentoring team members, collaborating with various stakeholders, and contributing to data science initiatives. The role requires strong technical expertise and effective communication skills.