Our client is a leading digital transformation consulting firm focused on Data, Cloud, and AI solutions. As a result of their continued success they are seeking a Data Science Lead who has recent and extensive experience leveraging Machine Learning, and interfacing with LLM's.
LOCATION and WORKING ENVIRONMENT :
Preference is Atlanta or Cleveland area with three (3) days in office.
Remote candidates will be considered.
Must have green card or permanent residency status.
REQUIREMENTS :
- Experience with econometric concepts such as causal inference, standard error correction, population inference.
- 3-5+ years using (deep) machine learning techniques to drive business value, including at a minimum penalized linear regression and SVM analysis.
- Ability to articulate complex ideas clearly in both technical and non-technical professional contexts is critical.
- Familiarity with APIs particularly for interfacing with open-source LLMs.
- Software engineering experience in Python (or R). Other programming languages like C++ or java a bonus.
- Familiarity with Python machine learning engineering libraries, including scikit-learn, Tensorflow 2.0 or pytorch.
- Experience with data rebalancing techniques and bias mitigation.
- Familiarity with various cloud SDKs - Further is cloud-agnostic in general and has clients using Azure, AWS, and Google Cloud across the board.
- Comfortable using and explaining a variety of AI evaluation metrics recall, precision, area under the curve (AUC), roc, accuracy, perplexity
- 5+ years of analytics experience, producing data-driven answers to executive questions.
- Familiarity with source control, code review, style guide compliance, and modular development.
RESPONSIBILITIES :
- Technical focused :
- Hands-on programming, debugging
- Machine learning modeling
- Data ingest and analysis (EDA)
- Visualization / graph waving (dashboards, results for presentations)
- Client presentations to present ongoing progress and results
- Potentially : CV - computer vision, image processing / image analysis
- Potentially : LLM - API calls, system integration, prompt tuning; maybe fine-tuning or implementing RAG
- Potentially : marketing analysis (prediction modeling, customer value analysis and prediction)
- Consulting focused :
- Manage budget, timelines, and deliverables to ensure the team is achieving business impact goals.
- Communicate clearly and effectively with clients in both good and challenging situations.
- Actively participate in business development activities, including client pitches, estimating work and creating project plans.
- Create trusted partnerships with clients in order to consistently extend and expand our business relationships.
- Develop sustainable solutions to share knowledge and experiences within the team.
- Build the expertise of our team through mentoring, training, and sharing best practices.
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