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Popular mid-level Data Scientist title, metro context, and known employer increase candidate competition.
Core data science skills (SQL, Python, analytics) are highly transferable across industries.
Explicit 2–4 years and mandatory SQL/Python and big-data skills create moderate filtering of candidates.
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Owns and leads data investigations and analytic research projects cross-functionally to deliver on-time, on-budget solutions.
Supports sales functions through feasibility studies, detailed data analysis, and providing key insights to internal and external clients.
Drives innovation by creating and maintaining reporting tools, automating custom work, and developing technical solutions for open-ended client problems.
Bachelor’s Degree in data science, mathematics, science, engineering, or related field.
2-4+ years of relevant experience working with big data and analytics.
Proficiency in database query tools such as SQL, Python, JSON, and advanced Excel.
Experience translating SQL queries into shell scripts for automation.
Experienced in leading cross-functional analytical projects and collaborating with client-facing teams to deliver actionable insights.
Possesses a solution-oriented mindset with the ability to innovate and automate data processes and reporting.
Familiarity with cloud technologies (AWS) and media measurement domain is a plus but not mandatory.