Data Scientist at Arohana Tech Solutions Private Limited
Glendale, CA
$125,000–$140,000
Jul 2, 2026
Glendale, CA
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role centered on designing and running large-scale experiments — A/B tests, geo experiments, and causal inference studies — and building reusable frameworks and Python/R libraries to support them across business domains. The work spans the full lifecycle from hypothesis formation and statistical design through analysis and presenting findings to executive stakeholders. Suits a seasoned quantitative practitioner with at least seven years of hands-on experimentation and causal inference experience who can also mentor junior team members.
Senior level · 7+ years · National · Bachelor's required
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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
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 (5)
No compensation figures are provided.
The degree requirement is a Bachelor's in a quantitative field as the hard gate; a Master's or PhD is listed under Preferred Qualifications as a preferred alternative path, not an additional requirement.
scikit-learn and LightGBM appear in the Required Technical Skills section under 'Experience with', which is a softer phrase, but they sit within the Required Qualifications block — treated as hard gates accordingly.
All data platform and MLOps items (Databricks, Snowflake, Jupyter Notebook, GitHub, CI/CD, MLOps) appear exclusively under Preferred Qualifications.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Uplift Modeling, Statistical power analysis, Regression analysis.
Read the full posting
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