Senior Data Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Early From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist Copenhagen | OnSite Subsets (YC S23) is an early-stage startup building the future of AI-driven subscription growth. As a Senior Data Scientist, you will join the early team to build and own the ML/AI models and feature engineering systems that power CRM and Lifecycle automation for millions of subscribers across some of the largest consumer subscription brands in the world. What you will do - develop and deploy machine learning models that drive subscriber retention, churn prediction, and lifecycle optimization. - own and develop new ML features from conception to deployment, ensuring reliability and scalability across our product. - design and implement data pipelines and feature engineering workflows that feed production ML systems. - deepen our predictive capabilities to unlock new product features and insights for our customers. - ensure model quality and data integrity through proper validation, monitoring, and performance tracking. - building data pipelines and LLM-powered RAG systems on proprietary experimental data to drive personalized lifecycle initiatives. - work in a lean, high-performing team where you will have a significant impact and assume significant responsibility. Tech Stack - Python, Google Cloud Platform, BigQuery, dbt, Terraform You may be a great fit if you have - (Required) you have proficiency with Python. - (Required) built and deployed production machine learning models. - experience with experiment design and A/B testing. - experience with Google Cloud Platform. - a degree in computer science, machine learning, mathematics, statistics, or a related field. - a strong bias toward action and

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