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About
Location: Atlanta, GA
JC: 150605
Salary: $120k max
Job Description;
Core Data Science & Analytics
Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.
Machine Learning & AI Engineering
Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).
Generative AI & Agentic Systems
Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making.
Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.
Agentic Coding & AI-Assisted Development
Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops.
Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.
Business Impact & Communication
Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders.
Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.
Domain & Collaboration
Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Languages
- English
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