# Senior Data Scientist

**Company:** [Mntn](https://hotfix.jobs/companies/mntn)
**Location:** Remote
**Role:** Data Science
**Experience:** 5+ years
**Skills:** Scala, Spark, SQL, Python, Graph Algorithms, Entity Resolution, Machine Learning, Applied Statistics, Clustering, Probabilistic Matching
**Posted:** 2026-06-17

> Senior Data Scientist building graph-based identity resolution systems for adtech. Requires 5+ years experience with large-scale data, Scala/Spark/SQL/Python, and graph algorithms.

## Job Description

## What you’ll do
- 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.

## What you’ll bring
- 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.

## Nice to Have
- 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.

## MNTN 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

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**Apply:** https://hotfix.jobs/jobs/46ebd671-770e-4ace-966b-b3cfc1473d34
**Canonical:** https://hotfix.jobs/jobs/46ebd671-770e-4ace-966b-b3cfc1473d34