The Boston market for Data Scientist positions reflects Boston's research-heavy market fueled by MIT, Harvard, and biotech companies. Our data shows an average ceiling of $235K based on 8 postings with disclosed compensation. Understanding local compensation benchmarks helps you negotiate effectively and evaluate whether an offer is competitive for this specific market.
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Frequently Asked Questions
What is the average Data Scientist salary in Boston?
Based on 8 job postings with disclosed compensation, Data Scientist roles in Boston pay between $144K and $235K base salary. This 63% spread reflects differences in company stage, required skills, and specific responsibilities. The wide spread between minimum and maximum reflects significant variation across company stages, from well-funded startups offering equity-heavy packages to established enterprises with higher base pay. Your negotiating position also depends heavily on specialized skills like LLM fine-tuning, RAG architecture, or production ML deployment experience.
Why is the Data Scientist salary range so wide?
The 63% salary spread reflects real market variation. Key factors include: (1) Company stage - startups often pay less base but offer equity; (2) Specific skills - expertise in LangChain, RAG, or fine-tuning commands premiums; (3) Industry - fintech and healthtech AI roles pay 15-25% above average; (4) Scope - building production systems vs research roles have different compensation. The wide spread between minimum and maximum reflects significant variation across company stages, from well-funded startups offering equity-heavy packages to established enterprises with higher base pay. Your negotiating position also depends heavily on specialized skills like LLM fine-tuning, RAG architecture, or production ML deployment experience.
What skills increase Data Scientist salary?
Skills that command higher Data Scientist salaries include: LangChain/LlamaIndex expertise (+10-15%), production RAG systems experience (+15-20%), fine-tuning experience (+10-20%), MLOps/deployment skills (+10-15%), and domain expertise in high-paying industries like finance or healthcare. Multiple LLM platform experience (OpenAI + Claude + open-source) also adds value. The wide spread between minimum and maximum reflects significant variation across company stages, from well-funded startups offering equity-heavy packages to established enterprises with higher base pay. Your negotiating position also depends heavily on specialized skills like LLM fine-tuning, RAG architecture, or production ML deployment experience.
How accurate is this AI salary data?
Our data comes from 8 actual job postings with disclosed compensation ranges, not self-reported surveys. We track AI, ML, and prompt engineering roles weekly. Limitations: not all companies disclose salary ranges, and posted ranges may differ from final negotiated offers. The wide spread between minimum and maximum reflects significant variation across company stages, from well-funded startups offering equity-heavy packages to established enterprises with higher base pay. Your negotiating position also depends heavily on specialized skills like LLM fine-tuning, RAG architecture, or production ML deployment experience.
Related Salary Data
Methodology
Salary data is collected from job postings on Indeed and company career pages. Only jobs with disclosed compensation are included. Data is updated weekly.
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