Senior Data Scientist

MNTN

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Design and improve graph-based approaches for identity resolution across devices, households, and identifiers
  • Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets and build models
  • Contribute production-grade code to shared repositories using strong engineering practices
  • Define validation strategies and measure model performance and business impact
  • Partner across Engineering, Product, and Analytics to deliver production-ready solutions
  • Leverage LLMs and AI editors to accelerate research, prototyping, and testing
  • Apply privacy-by-design principles to ensure identity science work is compliant and auditable

Requirements

  • 5+ years of experience in data science, machine learning, or applied research with large-scale datasets
  • Strong experience building identity graphs, entity resolution systems, or record linkage pipelines
  • Deep expertise in Scala, Spark, SQL, and/or Python
  • Strong foundation in applied statistics, machine learning, graph algorithms, and clustering
  • Experience productionizing data science solutions in partnership with engineering
  • Experience mentoring data scientists and defining technical direction
  • Comfort with AI-assisted workflows and modern development tools

Preferred Qualifications

  • Experience in adtech, martech, measurement, or attribution
  • Hands-on experience with Google Cloud Services (BigQuery, Dataproc, GCS, Kafka)
  • Experience with graph algorithms like label propagation, community detection, or graph embeddings
  • Familiarity with privacy-enhancing technologies and data governance

About the Company

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV transforms Connected TV into a direct-response, performance marketing channel, helping brands drive measurable conversions and revenue.

Skills & tools

ScalaSparkPythonSQLMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years in data science or machine learning
  2. 02Experience with identity graphs or entity resolution
  3. 03Proficiency in Scala, Spark, SQL, or Python
  4. 04Strong background in statistics and graph algorithms
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