Top Senior Data Science Jobs in Atlanta, GA

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

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.

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 Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

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

The Senior Data Scientist will analyze business problems, guide data visualization, and ensure statistical rigor while collaborating with cross-functional teams at Coinbase.

The Lead Data Scientist at Mastercard will design and develop innovative ML/AI solutions, collaborate with business partners, and validate predictive models to improve business outcomes using big data. They will document projects and engage in model deployment while leveraging advanced ML/AI techniques.

As a Senior Data Scientist, you will analyze data to produce insights, guide team decisions, improve systems, and influence stakeholders. You'll conduct rigorous experimentation and causal analysis to solve complex business challenges.

As a Senior Data Scientist at Coinbase, you'll analyze complex problems, influence product strategy using insights, and guide data practices in a high-caliber team environment.

The Senior Data Scientist will conduct analyses to guide decision making, own data metrics, and influence stakeholders using statistical rigor and expertise in SQL and Python.

The Senior Data Scientist will develop and deploy analytical models supporting marketing strategies, assess campaign effectiveness, and optimize customer engagement strategies, employing advanced data-driven methods and partnering with marketing stakeholders.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

The Accounting Data Scientist will utilize advanced analytics and SQL to enhance financial management and audit readiness, transforming complex data into actionable insights.

The Senior Data Scientist will optimize HVACR system performance using machine learning, develop data solutions, and work collaboratively across teams to enhance technical applications.

Design, implement, and evaluate transformer and generative-AI based NLP systems for clinical text. Process and enrich medical datasets, mitigate model risks (bias, hallucination), run experiments, and deploy models into the cloud with ML engineering partners to ensure reliability and compliance in regulated healthcare environments.

The Lead ML Ops Data Scientist will design scalable MLOps systems, mentor data scientists, and develop models for rental matching and personalization.

Lead advanced data science efforts for entity resolution and graph evaluation. Collaborate on optimization, establish data quality metrics, and drive innovation in identity solutions.

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.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.