Data Scientist

Roku•New York, NY

31d•$152,000 - $184,000•Hybrid

About The Position

Roku is looking for a Data Scientist to join the Core Analytics team to support our Customer Intelligence organization. Together, we answer high-impact business questions from C-suite with clear, decision-ready insights. You’ll work on analytics that directly shape how Roku grows engagement and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions. This role is intentionally “business-forward”: you’ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC.

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

Responsibilities

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.
Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations.

Benefits

health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off
global access to mental health and financial wellness support and resources.
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).
Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs.