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3 results for Data Scientist in Atlanta, GA

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes. Responsibilities: • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases. • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs. • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows. • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis. • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience. • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting. • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use. • Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
2026-05-01T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
I’m currently partnering with a client near the Atlanta metro area that is looking to add an experienced Data Scientist to their growing analytics and technology team. This role will focus heavily on forecasting, predictive modeling, and leveraging large-scale data platforms to drive business insights and strategic decision-making. Key Responsibilities:• Develop forecasting models and predictive analytics solutions to support business operations and planning• Analyze large and complex data sets to identify trends, patterns, and opportunities• Build, optimize, and deploy machine learning models and data pipelines• Work closely with business stakeholders and technical teams to translate data into actionable insights• Utilize Databricks and modern data platforms to support scalable analytics solutions• Create dashboards, reports, and visualizations to communicate findings effectively
2026-05-22T00:00:00Z

Software Engineer

Atlanta, GA
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
AI/ML Engineer Atlanta, GA Permanent Robert Half About the Role <ul><li>We’re seeking experienced AI/ML Engineers interested in consulting-driven work to design, build, and deploy enterprise-grade AI solutions. This role focuses on delivering scalable ML and GenAI systems that drive automation, insights, and operational efficiency across multiple business functions. You’ll operate as an internal consultant and technical leader, partnering with stakeholders to identify opportunities, implement AI tools, and bring solutions from concept to production. </li></ul>What You’ll Do <ul><li>Design and own end-to-end AI/ML and GenAI solutions, including LLM-based applications and predictive models Collaborate across multiple business units to identify, scope, and deliver high-impact AI use cases Build and deploy AI-powered applications (RAG pipelines, agentic workflows, automation tools) </li><li>Evaluate, recommend, and integrate third-party AI platforms and vendors Develop scalable APIs, pipelines, and microservices using Python (FastAPI, Flask, Django) and cloud platforms (AWS, Azure, GCP) </li><li>Leverage tools like ChatGPT, Claude, Gemini, and Copilot to automate workflows and generate insights from structured and unstructured data</li><li>Create dashboards and reporting solutions using Power BI or similar tools to drive data-informed decisions Translate business requirements into technical architectures and production-ready systems Implement evaluation frameworks, metrics, and monitoring for model performance and business impact </li><li>Ensure secure, scalable, and compliant deployment of AI solutions Identify risks (bias, hallucination, data leakage) and implement mitigation strategies Act as a trusted AI advisor, proactively identifying opportunities to drive efficiency and innovation </li></ul>What We’re Looking For <ul><li>3–5+ years of experience in AI/ML Engineering, Data Science, or Software Engineering Strong Python skills with ML frameworks (TensorFlow, PyTorch, etc.) </li><li>Experience building LLM-based solutions (OpenAI, Anthropic/Claudecode, Gemini, Copilot, etc.) Hands-on experience with AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) </li><li>Strong experience with API development and system design Experience working with large datasets and integrating across enterprise systems Proficiency in data visualization/reporting tools (Power BI or similar) </li><li>Experience designing and deploying production-grade AI systems in cloud environments Strong understanding of model evaluation, data quality, and AI system performance </li><li>Proven ability to partner cross-functionally and manage multiple stakeholders </li><li>Strong communication skills and ability to operate in consulting/client-facing environments Self-starter with the ability to adapt quickly across business domains</li></ul>
2026-05-18T00:00:00Z