Staff Data Scientist — Promotions Experiments & Impact

Netflix; Juneau (AK); Remote; USD 27,552 - 41,328; Full time

Job summary

Netflix in Juneau, USA is seeking a Staff Information Researcher (Data Scientist) to lead trial-and-error research in the promotions space, using data-driven evidence, causal inference, and AI to inform product decisions and drive business impact.

You will collaborate with product, design, analytics, and marketing; design, run, and report experiments; communicate insights through dashboards and analyses; and help grow a cross-functional, knowledge-sharing culture across teams.

Qualifications

• Post-graduate education in measurement, mathematics, material science, finance, or related quantitative field.
• Staff-level initiative with broad data expertise and ability to lead cross-functional teams.
• Strong quantitative data and analytical skills with trial-and-error or product-analysis experience.
• Proven ability to influence and drive product change across partners.
• Solid SQL skills and programming in Python or R.

Responsibilities

• Lead the area of trial and error for the Promotions stage with business impact.
• Develop relationships with product, design, analytics, marketing, and others.
• Design, execute, and report experiments; share findings and foster learning.
• Communicate insights through dashboards and data analyses for scaling.
• Serve as a thought leader for product processes in promotions.

Skills

Data analysis

Trial-and-error mindset

Cross-functional leadership

Communication of data-driven ideas

Mentoring others

Education

Post-graduate education in measurement, mathematics, material science, finance, or related quantitative field

Tools

SQL

Python

R

Job description

Netflix in Juneau, USA is seeking a Staff Information Researcher (Data Scientist) to lead trial-and-error research in the promotions space, using data-driven evidence, causal inference, and AI to inform product decisions and drive business impact.

You will collaborate with product, design, analytics, and marketing; design, run, and report experiments; communicate insights through dashboards and analyses; and help grow a cross-functional, knowledge-sharing culture across teams.