Junior Data Scientist (Remote - Colorado Residents Only)
Salary: $60,000–$100,000 (DOE)
Benefits: Unlimited PTO (subject to manager approval), flexible remote work. No health or 401(k) benefits currently offered; salary can be adjusted accordingly.
About Us
Pikes Peak Data Sciences (https://pikespeakds.com) is a Colorado-based consultancy delivering high-impact data science and AI solutions for clients in regulated industries including healthcare, aerospace, and federal contracting. We focus on developing scalable systems using cloud platforms, modern ML tools, and practical engineering.
About the Role
We’re seeking a Junior Data Scientist who is self-driven, curious, and eager to grow. This is a hands-on, remote position supporting both internal product development and external client work.
Due to payroll and contracting restrictions, applicants must:
• Currently reside in the state of Colorado
• Be a U.S. citizen (required for eligibility to work on government contracts)
You’ll help prototype GenAI applications, support written technical communication, and develop models for real-world NLP and data engineering problems.
What You'll Do
• Prototype machine learning and GenAI solutions, especially in NLP and vector-based search
• Build and maintain Python-based data science pipelines
• Support consulting projects involving model development, text processing, and analytical reporting
• Collaborate with the founder on client-facing work and internal initiatives
• Take ownership of small projects and push them forward independently
What We're Looking For
• Required:
• U.S. citizen
• Resident of Colorado
• Strong proficiency in Python
• Exposure to classical ML and deep learning models
• Experience with NLP and text vectorization techniques
• Ability to work independently and communicate professionally
• Nice to Have:
• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with DevOps workflows or MLOps tooling
• Interest in technical writing or communicating AI concepts clearly
You’ll Thrive Here If You…
• Are intellectually curious and eager to learn fast
• Take initiative and are dependable without micromanagement
• Value real-world impact over academic perfection
• Want to be part of a small, agile company building cutting-edge tools
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