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Data Science Lead

2 months ago

Atlanta, United States Bell Falls Search Full time
Job DescriptionJob Description

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.