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MNTN

Senior Data Scientist

MNTN

Senior Data Scientist at MNTN developing methodologies for identity resolution across data sources. Enhancing AI-assisted solutions while maintaining a people-first approach.

Posted 6/24/2026full-timeRemote • 🏈 Anywhere in North AmericaSeniorWebsite

Tech Stack

Tools & technologies
CloudPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Design and improve graph-based approaches for identity resolution across devices, households, and identifiers which improve match quality, coverage, and stability across a rapidly changing identity landscape.
  • Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets, build models, and productionize data science workflows.
  • Contribute production-grade code to shared repositories, using strong engineering practices to build clear, scalable, and maintainable systems.
  • Define validation strategies and measure model performance and business impact on targeting, measurement, and attribution.
  • Help shape the team’s approach to identity science and partner across Engineering, Product, and Analytics to deliver production-ready solutions.
  • Leverage LLMs, AI editors (Cursor, Copilot, Claude Code), and agentic workflows to accelerate research, prototyping, documentation, testing, and iteration.
  • Apply privacy-by-design principles to ensure identity science work is auditable, compliant, and aligned with governance standards.

Requirements

What you’ll need
  • 5+ years of experience in data science, machine learning, or applied research working with large-scale datasets in production.
  • Strong experience building identity graphs, entity resolution systems, record linkage pipelines, or related graph-based matching systems.
  • Deep expertise in Scala, Spark, SQL, and/or Python for distributed processing, model development, and experimentation.
  • Strong foundation in applied statistics, machine learning, graph algorithms, clustering, probabilistic matching, and model evaluation.
  • Experience productionizing data science solutions in partnership with engineering, including testing, monitoring, and reproducibility.
  • Experience mentoring data scientists and helping define technical direction across a team.
  • Comfortable with AI-assisted workflows and modern development tools, including LLMs.
  • Deep ownership mindset - you care about correctness, explainability, scalability, observability, and maintainability.
  • Entrepreneurial, customer-first mindset - you connect identity science quality to marketing performance and attribution accuracy.

Benefits

Comp & perks
  • 100% remote within the US
  • Flexible vacation policy
  • Annual vacation allowance for travel related expenses
  • Three-day weekend every month of the year
  • Competitive compensation
  • 100% healthcare coverage
  • 401k plan
  • Flexible Spending Account (FSA) for dependent, medical, and dental care
  • Access to coaching, therapy, and professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ScalaSparkSQLPythondata sciencemachine learninggraph algorithmsclusteringprobabilistic matchingmodel evaluation
Soft Skills
mentoringtechnical directionownership mindsetcustomer-first mindsetcollaborationcommunicationproblem-solvingadaptabilityattention to detailleadership