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Jobs or company...

Data Science Lead

Salary undisclosed

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Job Description

Job Description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!

DATA SCIENCE LEAD

What experience should you have:

  • 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.

What you'll be doing in this role:

  • Technical focused:
    • Hands-on programming, debugging
    • Machine learning modeling
    • Data ingest and analysis (EDA)
    • Visualization (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.

What you'll need to accomplish in your first year:

  • Develop an understanding of all solutions.
  • Deliver solutions that drive measurable business impact.
  • Identify opportunities to bring additional value to our clients.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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