Netflix Data Entry Jobs - From Home Virtual @ Get Dream Job

Netflix; Sacramento (CA); On-site; USD 41,600 - 62,400; Full time

Job summary

Netflix invites a Staff Data Scientist to drive experimentation and valuation for the Advancements business from its Sacramento, CA location. You will partner with product, planning, operations, design, and customer research teams to identify high-impact research and build cases for prioritization and resource allocation.

You will execute and present comprehensive analyses, use visualizations and ML tools to communicate insights, and champion evidence-based decision making across the Data

Qualifications

• Postgraduate education in statistics, mathematics, computer science, economics, or related quantitative field.
• Staff-level experience managing large-scale data and leading cross-functional initiatives.
• Strong analytics background in experimentation or product analytics environments.
• Experience applying data science in consumer or UI contexts, or within flagship product-focused groups such as behavioral science teams.
• Proven ability to articulate and influence stakeholders across multiple levels.
• Proficiency in SQL and programming in Python or R.
• Clear and concise communication of insights to large audiences.
• Coaching and collaborative skills, especially within your core domain.
• Experience steering programs at scale (e.g., initiatives, train-the-trainer, lifecycle events) both in-person and virtually.
• Commitment to Netflix culture and values, particularly inclusion, openness, and collaboration.

Responsibilities

• Lead the area of Experimentation for the Advancements Stage, identify and pursue research with high business impact, and build cases for prioritization and resource allocation.
• Build strong partnerships with cross-functional teams from product, planning, operations, design, and customer research.
• Execute and present comprehensive analysis and experiments, share data insights, and champion a culture of evidence-based decision making.
• Communicate findings using visualizations and machine-learning tools, emphasizing impact and accountability to the broader Data Science & Engineering community.
• Serve as a thought leader within product, metrics, and planning teams for experimentation in the advancement domain.

Skills

Experimentation leadership

Cross-functional collaboration

Data storytelling

Statistical analysis

Education

Master's or PhD in Statistics/Math/CS/Economics

Tools

SQL

Python

R

Job description

Staff Data Scientist

Location: Sacramento, USA — Salary: $20–30 per hour.

About the Role

This position supports experimentation and valuation in the advancements business, driving data‑driven decision making across product and engineering teams.

Responsibilities

• Lead the area of Experimentation for the Advancements Stage, identify and pursue research with high business impact, and build cases for prioritization and resource allocation.
• Build strong partnerships with cross‑functional teams from product, planning, operations, design, and customer research.
• Execute and present comprehensive analysis and experiments, share data insights, and champion a culture of evidence‑based decision making.
• Communicate findings using visualizations and machine‑learning tools, emphasizing impact and accountability to the broader Data Science & Engineering community.
• Serve as a thought leader within product, metrics, and planning teams for experimentation in the advancement domain.

Qualifications

• Postgraduate education in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Staff‑level experience managing large‑scale data and leading cross‑functional initiatives.
• Strong analytical background in experimentation or other product analytics environments.
• Experience applying data science in consumer or UI contexts, or within flagship product‑focused groups such as behavioral science teams.
• Proven ability to articulate and influence stakeholders across multiple levels.
• Proficiency in SQL and programming in Python or R.
• Clear and concise communication of insights to large audiences.
• Coaching and collaborative skills, especially within your core domain.
• Experience steering programs at scale (e.g., initiatives, train‑the‑trainer, life‑cycle events) both in‑person and virtually.
• Commitment to Netflix culture and values, particularly inclusion, openness, and collaboration.