Netflix Jobs Data Entry

Netflix; Montgomery (AL); Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

SQL

Python

R

Statistics

Cross-functional collaboration

Communication

Experimentation

Formation

Postgraduate degree in quantitative field

Description du poste

Job Title: Data Scientist

Location: Montgomery, USA

Job Responsibilities

In this job, you will:

• Lead the area of Trial and Error for Promotions Stage, identify and pursue research with critical business impact, and build convincing cases for prioritization and resource allocation.
• Develop solid relationships with cross‑functional partners from product, design, engineering, strategy, shopper research, and other relevant areas.
• Execute and introduce solid experiments, aggregate data, and drive others to adopt findings, fostering an open culture of collaboration, growth, and academic curiosity.
• Convey data‑driven solutions through demonstrations and machine learning, data investigation, and solid documentation with an eye toward impact and commitment to the larger DSE community.
• Be a thought leader for product, operations, and design teams in the area of Trial and Error for Promotions.

Qualifications

• Postgraduate education in measurements, statistics, mathematics, computer science, finance, or related quantitative fields.
• Initiative (staff level) insight with extensive data experience and a demonstrated capacity to lead cross‑functional initiatives, work autonomously, and energize others.
• Strong quantitative data and analytical skills, including experience in statistical or other product‑analytics settings.
• Strong product data and analytical skills, including experience in customer or UI settings or within specialized consumer segments such as designers.
• Demonstrated ability to communicate and drive product change across stakeholder groups.
• Solid SQL skills and proficiency in quantitative programming with Python or R.
• Ability to communicate complex ideas effectively and concisely to audiences at various levels.
• Will coaching, conceptualizing with, and empowering others, especially within your functional area.
• Effective for gathering and cultivating specialist networks across (e.g., flat gatherings, workshops, and seminars) and remotely (e.g., virtual meetings).
• Respect for Netflix’s way of life and values, especially regarding transparency and encouraging the open discussion of ideas and empowering consideration of different viewpoints.