Sr. Data Scientist at Insight Global
Columbus, OH
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Jun 29, 2026
Columbus, OH
Jul 21, 2026
What this job asks for AI summary
A senior data science role embedded in a centralized Enterprise Analytics team, focused on analyzing customer, product, channel, and digital data to surface growth opportunities and optimize consumer experience. The work involves consultative engagement with business stakeholders across Product, Marketing, Finance, and senior leadership, translating findings into actionable insights through data storytelling and visualization. Suits candidates with strong SQL, Python/R/Spark, and cloud tooling experience alongside solid communication skills.
Senior level · 3+ years · National
“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
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)
The degree requirement is structured as a tiered alternative: a Bachelor's + 5 years of analytics/data science experience, OR a Master's in a STEM field + 3 years, OR a PhD with no experience required. Because equivalent experience is explicitly accepted in lieu of a Master's, the degree requirement is set to None.
The overall years minimum is set to 3, reflecting the lowest experience gate that applies to a degreed candidate (Master's + 3 years). A candidate with only a Bachelor's would need 5 years, but the posting's own minimum path (PhD) requires zero years; 3 years is the practical floor for most applicants.
The large-database platforms (Oracle, DB2, SQL Server, Teradata, Hadoop) are listed together as examples of systems the candidate should have experience with alongside SQL; they are captured as alternatives to Oracle under a single skill entry.
Python, R, and Spark are listed as interchangeable options for the 3-year programming requirement; Python is used as the primary name with R and Spark as alternatives.
AWS SageMaker and Streamlit appear at the end of the Skills and Requirements section without explicit 'required' or 'preferred' framing, but their placement within the single requirements block — with no separate 'Nice to have' heading — means they are treated as hard gates.
Read the full posting
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