Top Senior Data Science Jobs in Atlanta, GA

As a Data Scientist at AIG, you will develop and deliver Generative AI solutions, focusing on Large Language Models and Machine Learning in an agile environment, collaborating with cross-functional teams and overseeing production quality.

Lead product-facing data science by defining metrics, building models and experiments, and delivering insights to influence product strategy. Drive experimentation best practices, mentor junior scientists, guide technical design and validation, and collaborate with Product, Engineering, and Design to operationalize ML solutions.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

As a Staff Data Scientist, you'll design and optimize ML systems for claims handling automation, collaborating with product and engineering teams.

Design, build, and deploy ML and statistical models for threat and anomaly detection; engineer security data pipelines; partner with SOC and engineering to embed analytics into controls and incident response; monitor model performance, and communicate findings to technical and non-technical stakeholders.

The Supply Chain Data Scientist develops analytics to enhance supply chain efficiency and reliability, working with operational data to optimize network performance and decision making.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The Data Scientist will conduct data research, develop analytics models, ensure data quality, and communicate actionable insights to stakeholders. Responsibilities include statistical analysis, data mining, and collaboration with business experts to enhance decision-making.

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.

Design, build, and optimize fraud and credit risk models. Analyze fraud patterns, develop predictive models, and present findings to stakeholders.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

The Data Scientist Expert will apply advanced techniques in data science and analytics to support GEOINT mission requirements for US Army Intelligence, integrating various data sources and building models for decision-making.

As a Staff Data Scientist, you will drive growth through data science initiatives, optimize sales processes, and develop recommendation engines for strategic decisions. You will work closely with multiple teams and build models that enhance revenue opportunities.