Princeton, NJ

Salary
$167,540–$203,013from the description
Posted
Jun 29, 2026
Location
Princeton, NJ
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

This role centers on building and running advanced marketing mix models, causal analyses, and optimization frameworks to guide commercial investment decisions across pharmaceutical brands. The work spans hands-on statistical modeling (Bayesian, adstock, saturation, causal inference) through to operationalizing those models into automated, always-on analytics pipelines and emerging AI-agent-enabled decision tools. It suits a quantitatively trained analyst with direct experience owning marketing mix or causal modeling in a pharma commercial setting.

Senior level · 5+ years · New York-Newark-Jersey City, NY-NJ-PA · Master's required · Full-time

Must have (8)
causal inferencePython or RSQLDatabricks or SnowflakeMLOpsgeo-experimentssynthetic control methodsBI tools
Nice to have (1)
agentic AI

“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 770 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 200–1,000

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

What won't set you apart
Python88%SQL72%

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

What the occupation pays Median $135,980 (middle half $101,320–$173,160). 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 (8)

The posting requires an 'advanced degree' (Master's or higher) in a quantitative field — mapped to Masters as the minimum hard-required degree since a Bachelor's alone is not accepted.

The title 'Associate Director' carries no standard seniority level word, so the title states no level; the 5+ years minimum and end-to-end ownership of complex modeling programs support a Senior classification.

SOC is Medium confidence: the role is primarily statistical/ML modeling (15-2051 Data Scientists), but its heavy focus on marketing measurement, optimization, and decision analytics also fits 15-2031 Operations Research Analysts — both are plausible.

Python and R are listed together with 'and/or' phrasing in the requirements section; Python is the primary name with R as an alternative.

Databricks and Snowflake are listed as examples of cloud analytics platforms in the requirements section ('e.g., Databricks, Snowflake') — treated as a hard gate on cloud analytics platform experience, with Snowflake as an alternative.

Agentic AI / automated analytics platforms are explicitly called 'a plus' and 'not required but beneficial' under Domain & Platform Knowledge — listed as preferred accordingly.

The compensation range ($167,540–$203,013) is stated for Princeton, NJ; the CBSA reflects the New York–Newark–Jersey City metro, which encompasses Princeton/central NJ.

Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Marketing Mix Modeling, Bayesian modeling, uplift modeling.

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