Senior Data Scientist

Job not on LinkedIn

🔥 34 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Reef Group

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2002

🏠 Real Estate

🚀 Aerospace

🏗️ Construction

Real Estate • Aerospace • Construction

Reef Group is a developer and investor focused on real estate, infrastructure and technology, positioning itself to build a sustainable earth and space economy. The company describes itself as real estate, infrastructure and technology developers & investors and highlights a 25-year history of growth and evolution with an expressed mission to support sustainability in both terrestrial and space-related projects.

📋 Description

• Consult with internal clients and build data products and workflows to support critical operations • Migrate and modernize clients’ workloads from legacy environments to the cloud to realize quantifiable improvements • Spearhead AI adoption with clients to drive business outcomes • Create reference use cases with supporting tutorials, reference code, and training to drive adoption of cloud tooling for concrete business results • Host office hours to upskill clients • Develop, train, and deploy machine learning solutions to solve complex business problems

🎯 Requirements

• Bachelor’s degree in Engineering, Computer Science, Systems, Business or related scientific/technical discipline • 12+ years of experience • Proficient in Python and advanced SQL for data analysis • 2+ years’ experience working on leading cloud platforms such as Databricks, Azure, AWS, and GCP • Experience in the end-to-end data science workflow, from identifying datasets to production, and associated tooling including NumPy, SciPy, and MLflow • Solid understanding of traditional machine learning toolboxes • Working knowledge of large language models (LLMs) and agentic AI workflows • Bonus: 5+ years of data scientist experience shipping multiple products in operation • Bonus: 2+ years of experience building visualized insights, dashboards, and reports supporting operational needs • Bonus: Prior experience using R, Stata, or SAS • Bonus: Experience refactoring R, Stata, or SAS codebases to Python • Bonus: Prior experience shipping products leveraging LLMs or AI agents