The Brattle Group · Boston, MA

Salary
$105,000–$115,000from the description
Posted
Jul 14, 2026
Location
Boston, MA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

An early-career technical role on an economics consulting firm's Data & AI Engineering team, working across data preparation, applied analytics, machine learning, and AI-enabled workflows in support of client engagements and internal R&D. Day-to-day work involves cleaning and reconstructing messy data, building reproducible Python and SQL pipelines, prototyping AI tools such as retrieval-augmented generation and text classification, and communicating findings to economists and consultants. Suited to a generalist builder comfortable with ambiguity and eager to develop technical judgment across a broad range of problem types.

Junior level · Boston-Cambridge-Newton, MA-NH · Full-time

Must have (6)
PythonSQLpandas, NumPy or scikit-learnGitRAGembeddings
Nice to have (1)
Azure, AWS or GCP

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 50 people in the Boston-Cambridge-Newton, MA-NH area plausibly meet what this posting asks for (data scientists). range 30–75

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
RAG8%embeddings10%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%SQL72%pandas72%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $134,944 (middle half $104,979–$169,773). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

The role spans data engineering, applied analytics, ML, and generative AI workflows — it sits most naturally under Data Scientists (15-2051) given the ML/AI/statistics emphasis, though Data Architects (15-1243) is a plausible runner-up given the data pipeline and engineering work.

The posting states '0–3 years of professional experience,' explicitly frames this as an early-career role, and notes candidates will work under senior technical leads — supporting a Junior classification despite the $105K–$115K salary range.

A Bachelor's degree is listed as the first qualification but is immediately followed by 'Equivalent hands-on technical experience… may also be considered,' so no hard degree gate is set.

Azure is explicitly called 'helpful but not required' in the qualifications section, so it is marked as preferred.

pandas, NumPy, and scikit-learn are listed together as examples of Python libraries ('such as pandas, NumPy, scikit-learn, or comparable tools') — pandas is used as the primary skill name with the others as alternatives.

Generative AI workflow skills (prompt design, embeddings, vector search, RAG, summarization, classification, model evaluation) are listed under the required qualifications section; RAG and embeddings are captured as representative hard-gate skills for that cluster.

The posting explicitly states this position is not eligible for immigration sponsorship.

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