Senior Data Scientist at AgZen
Somerville, MA
$150,000–$180,000from the description
Jul 22, 2026
Somerville, MA
Jul 23, 2026
What this job asks for AI summary
A senior data science role on the perception team of a precision agriculture startup, focused on analyzing spray application data collected from field-deployed hardware units. Core responsibilities include building a recommendation engine for agricultural optimization, improving ML models through data-centric methods, designing dashboards for non-technical users, and maintaining multimodal data labeling pipelines. Suits someone with a strong statistical and ML background who can bridge technical and non-technical teams.
Senior level · Boston-Cambridge-Newton, MA · Full-time
“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 360 people in the Boston-Cambridge-Newton, MA area plausibly meet what this posting asks for (data scientists). range 270–470
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 (10)
The degree requirement is listed as 'MS or PhD … (or BS with equivalent work experience)', so no minimum degree is hard-gated.
SQL and PostgreSQL are listed together as interchangeable query languages in the required section; captured as one skill with PostgreSQL as an alternative.
The required section references 'main data-science, analytics, modeling and visualization Python libraries, including machine learning and deep learning' without naming specific libraries; specific libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) appear only under the Preferred section and are marked accordingly.
PyTorch and TensorFlow are listed as alternatives ('PyTorch and/or TensorFlow') under Preferred.
'Exploratory data analysis', 'data visualization', 'statistical modeling', 'machine learning', and 'deep learning' are retained as required skills because they represent concrete, named analytical disciplines explicitly called out in the Required section — not generic soft skills.
Computer vision experience ('vision-based ML') appears only under Preferred.
Generative AI experience appears only under Preferred.
Agriculture/life sciences domain knowledge and interfacial/fluid dynamics knowledge are listed under Preferred but are domain knowledge rather than named tools, so they are omitted per extraction rules.
The role is explicitly in-person in Somerville, MA; remote is false.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): exploratory data analysis.
Read the full posting
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