Data Scientist: Drive Cross-Functional Experiments

Netflix; Montgomery (AL); On-site; USD 90,000 - 120,000; Full time

Job summary

Netflix is seeking a Data Scientist in Montgomery, AL to lead experimentation for promotions, partner with product/design/engineering, and drive cross‑functional data initiatives. The role emphasizes building convincing cases for prioritization and resource allocation, with a strong focus on data experimentation and collaboration.

You will develop relationships with diverse teams, perform solid analyses, and communicate findings to influence product strategy and growth within the DSE community.

Qualifications

• Postgraduate degree in measurements, statistics, mathematics, CS, finance, or related quantitative field.
• Ability to lead cross-functional initiatives and energize others.
• Strong data analysis experience in statistics or product analytics.
• Experience with customer/UI data or consumer segments such as designers.
• Excellent communication of complex ideas to diverse audiences.
• Solid SQL skills and proficiency in Python or R.
• Experience coaching and engaging stakeholders.

Responsibilities

• Lead the area of Trial and Error for Promotions Stage, identifying and pursuing research with business impact and prioritization.
• Develop relationships with cross‑functional partners from product, design, engineering, strategy, shopper research, and more.
• Execute experiments, aggregate data, and drive adoption of findings with collaboration culture.
• Convey data‑driven solutions through demonstrations, ML, data exploration, and documentation for impact.
• Be a thought leader for product, operations, and design in Trial and Error for Promotions.

Skills

SQL

Python

R

Statistics

Cross-functional collaboration

Communication

Experimentation

Education

Postgraduate degree in quantitative field

Job description

Netflix is seeking a Data Scientist in Montgomery, AL to lead experimentation for promotions, partner with product/design/engineering, and drive cross‑functional data initiatives. The role emphasizes building convincing cases for prioritization and resource allocation, with a strong focus on data experimentation and collaboration.

You will develop relationships with diverse teams, perform solid analyses, and communicate findings to influence product strategy and growth within the DSE community.