Data Scientist

TL;DR

Data Scientist: Answers high-impact business questions from C-suite with clear, decision-ready insights and develop SQL and Python-based workflows. Focus on translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables with measurement & causal thinking.

Location: Must be based out of NYC, hybrid role with four days per week in the office, Monday through Thursday.

Salary: $152,000-$184,000 annually.

Company

hirify.global is the #1 TV streaming platform in the U.S., Canada, and Mexico.

What you will do

• Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.
• Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.
• Build crisp storytelling & presentations: create executive-ready readouts (slides, memos) with clear “so what / now what.”
• Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.
• Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.
• Measurement & causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions.

Requirements

• 3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).
• Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).
• Proficiency in Excel to work with data, tables and visualization.
• Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.
• Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).
• Experienced with Python for analysis and data pipeline production (via Airflow).

Nice to have

• Hands-on experience with visualization tools like Tableau or Looker.

Culture & Benefits

• This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.