Top Entry Level Data Science Jobs in Atlanta, GA

The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.

The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

The Revenue Operations Analyst supports the full customer lifecycle in collaboration with Marketing, Customer Success, and Sales Leadership. This role focuses on optimizing revenue tools, maintaining data integrity, improving processes, managing leads, and supporting deal structures to drive business growth and enhance team productivity.

The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.

The Research Associate role at Carbon Direct involves conducting research and analysis, creating deliverables, collaborating with teams, and managing projects focused on nature-based climate solutions. A strong candidate will engage in data analysis, foster communication, and ensure quality in outcomes while supporting carbon management advisory engagements.

The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.