[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. MNTN is a company that prioritizes its people and fosters a culture defined by shared values. They are seeking a Senior Data Scientist to develop methodologies and models that enhance identity resolution for Performance TV marketing, utilizing large-scale data science and AI-assisted development.

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
• Apply privacy-by-design principles to ensure identity science work is auditable, compliant, and aligned with governance standards

Skills

• 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

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
• 401k plan
• Flexible Spending Account (FSA) for dependent, medical, and dental care
• Access to coaching, therapy, and professional development

Company Overview