Netflix Remote Jobs (Part-Time) $24/Hour

Netflix; Chicago (IL); Remote; USD 90,000 - 130,000; Full time

Job summary

Netflix is looking for a Senior Data Scientist in Chicago, IL. This role involves building models to enhance the client experience and applying advanced data science strategies to business challenges. The ideal candidate will have over 2 years of experience in data science, strong quantitative skills, and proficiency in Python or R.

Key responsibilities include collaborating with various teams, identifying impactful research, and clearly communicating insights. A Bachelor Degree is required, with a preference for postgraduate training in a quantitative field.

Qualifications

• 2+ years of significant experience with real-world data science and experimentation using web-scale data.
• Experience building production-grade machine-learning models with clear business impact.
• Strong quantitative skills and proficiency in Python or R.

Responsibilities

• Build models to depict the client experience.
• Deliver insights and reports to stakeholders.
• Identify research with substantial business impact.
• Apply data-science strategies to business problems.
• Perform data analysis on response pathways.
• Collaborate with cross-disciplinary teams.
• Drive product change across stakeholder groups.
• Communicate insights clearly across leadership.

Skills

Machine-learning

Data analysis

Python

R

Statistical analysis

Education

Bachelor Degree

Postgraduate training in Statistics, Probability, Applied Science, Economics, or a related quantitative field

Job description

Job Responsibilities

Senior Data Scientist

Salary: $24/Hr

Company: Netflix

Location: Chicago, USA

Educational Requirements: Bachelor Degree

Responsibilities

• Build models to depict the client experience, including responsibility and upkeep guesses and valuation models.
• Convey genuine datasets, tools, and reports to key stakeholders and partners.
• Identify and pursue research with substantial business impact, and build compelling cases for prioritization and resources.
• Apply advanced machine‑learning and data‑science strategies to business problems at the intersection of product and data science.
• Proactively perform data analysis on response pathways to act on future opportunities.
• Collaborate with cross‑disciplinary teams from product, planning, engineering, design, and customer research to build and communicate scaleable models.
• Demonstrate the ability to drive product change across multiple stakeholder groups.
• Effectively communicate the Netflix values and contribute to the company culture while explaining insights clearly and in real time across senior leadership.

Qualifications

• 2+ years of significant experience with real-world data‑science and experimentation using web‑scale data.
• Experience building production‑grade machine‑learning models with clear business impact.
• Strong quantitative skills and proficiency in Python or R.
• Postgraduate training in Statistics, Probability, Applied Science, Economics, or a related quantitative field.