MNTN - Senior Data Scientist
Requirements
• 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. • Experience in adtech, martech, measurement, attribution, or privacy-sensitive consumer data environments. • Hands-on experience with Google Cloud Services and cloud-native data and ML tooling such as BigQuery, Dataproc, GCS, and Kafka. • Experience with graph algorithms and techniques such as label propagation, connected components, community detection, graph embeddings, and/or link prediction. • Familiarity with privacy-enhancing technologies, data governance practices, and evolving identity standards.
Responsibilities
• 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.
Benefits
• 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 • Flexible Spending Account (FSA) for dependent, medical, and dental care • Access to coaching, therapy, and professional development • Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN.
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