Senior Data Scientist – AI / Machine Learning

Overview

Senior Data Scientist – AI & Machine Learning ($175k – $225k)

GEOSPACE LLC | Minneapolis, MN (Hybrid) | Full-Time

About Us

GEOSPACE is a Minneapolis-based startup with new perspectives on acquiring, transforming, and applying 3D data for the real estate industry. We’re building technology that understands the geometric structure of the built environment – turning raw point clouds into structured, intelligent models.

Our team is small, tight-knit, and intentionally cross-disciplinary. We share ideas openly, collaborate across every discipline, and support one another through problems that none of us have solved before. This is a safe environment for learning, for asking questions, for challenging ideas, and for growing together. If you’re looking for a place where your voice matters from day one and your contributions shape the direction of the company, you’ll feel at home here.

The Role

We’re looking for a senior data scientist to join our team as a core technical contributor and creative force. This is a role for someone who wants to work on the hardest, most interesting problems in our stack- structural reasoning over 3D data, graph neural networks, computer vision and the AI systems that bring spatial understanding to life.

You’ll work alongside our existing data science team and complement, bringing your own lens on how to approach problems that don’t have textbook solutions. You’ll have direct influence on the direction of our core AI products, and the autonomy to pursue ideas that push them forward.

What You’ll Do

Architect and refine AI/ML pipelines that transform unstructured point cloud data into meaningful, structured representationsDesign and develop ML models including graph neural networks for structural and spatial reasoning over 3D dataExplore and implement agentic AI capabilities that enhance automation, decision-making, and system intelligence across our platformCollaborate on computer vision approaches for feature extraction, classification, and validation of architectural elementsLead experimentation – define hypotheses, design rigorous tests, and drive measurable outcomesContribute creative ideas and novel approaches to problems at the frontier of 3D understanding and spatial AICommunicate complex technical concepts clearly to both technical and non-technical stakeholders

What We’re Looking For

5+ years of experience in data science or applied machine learningProficiency in Python with deep experience in ML frameworks (PyTorch, TensorFlow, or equivalent)Experience with experiment tracking, model evaluation, and reproducible research practicesComfort working with 3D data, point clouds, or computational geometry (or a genuine eagerness to dive in)Computer vision experience is a strong plusMaster’s or PhD in Computer Science, Data Science, Mathematics, or a related quantitative field preferred

Who You Are

Self-starting and proactive – you don’t wait to be told what to work on. You identify what matters and move.Enthusiastic and energetic – you bring momentum to the team, not just output.Creative – you see problems differently and aren’t afraid to propose unconventional approaches.An owner – you manage your own work, communicate your progress, and hold yourself accountable.Collaborative – you make the people around you better by sharing ideas, asking good questions, and engaging openly.

What We Offer

Competitive salary with equity participationGround-floor opportunity at a funded startup solving real, complex problemsA talented, tight-knit technical team that values craft and creativityHybrid work environment in MinneapolisDirect influence on product direction and technical strategyThe chance to work on genuinely novel challenges in 3D AI and spatial intelligence

Our Values

We are a team above all else: This is a respectful, safe place for opinionsTeam of equals: No hierarchy of egos, just collaborative problem-solvingClear vision: We know where we’re going and how to get thereMove fast: We’re well-funded and empowered to executeQuality matters: We build things right, not just fast

Company:

GEOSPACE

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Classification, Industry, Machine Learning, Neural Networks, NLP, United States