
201 - 500 employees
MNTN builds advertising software for brands to drive measurable conversions, revenue, site visits and more through the power of television.
π₯ 33 minutes ago
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201 - 500 employees
MNTN builds advertising software for brands to drive measurable conversions, revenue, site visits and more through the power of television.
β’ 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. β’ Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets, build models, and productionize data science workflows. β’ Contribute production-grade code to shared repositories, using strong engineering practices to build clear, scalable, and maintainable systems. β’ Define validation strategies and measure model performance and business impact on targeting, measurement, and attribution. β’ Help shape the teamβs approach to identity science and partner across Engineering, Product, and Analytics to deliver production-ready solutions. β’ Leverage LLMs, AI editors (Cursor, Copilot, Claude Code), and agentic workflows to accelerate research, prototyping, documentation, testing, and iteration. β’ Apply privacy-by-design principles to ensure identity science work is auditable, compliant, and aligned with governance standards.
β’ 5+ years of experience in data science, machine learning, or applied research working with large-scale datasets in production. β’ Strong experience building identity graphs, entity resolution systems, record linkage pipelines, or related graph-based matching systems. β’ Deep expertise in Scala, Spark, SQL, and/or Python for distributed processing, model development, and experimentation. β’ Strong foundation in applied statistics, machine learning, graph algorithms, clustering, probabilistic matching, and model evaluation. β’ Experience productionizing data science solutions in partnership with engineering, including testing, monitoring, and reproducibility. β’ Experience mentoring data scientists and helping define technical direction across a team. β’ Comfortable with AI-assisted workflows and modern development tools, including LLMs. β’ Deep ownership mindset - you care about correctness, explainability, scalability, observability, and maintainability. β’ Entrepreneurial, customer-first mindset - you connect identity science quality to marketing performance and attribution accuracy.
β’ 100% remote within the US β’ Flexible vacation policy β’ Annual vacation allowance for travel related expenses β’ Three-day weekend every month of the year β’ Competitive compensation β’ 100% healthcare coverage β’ 401k plan β’ Flexible Spending Account (FSA) for dependent, medical, and dental care β’ Access to coaching, therapy, and professional development
Apply Nowπ June 2
Data Scientist utilizing AI tooling to build and iterate on statistical and ML models at Pipe Technologies, enhancing fintech services for SMBs across five countries.
π North America β Remote
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β° Full Time
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