Data Scientist (L5) - Applied Research, Consumer Insights
Los Angeles, California
Applications have closed
Netflix
Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more.We’re looking for a passionate Research Data Scientist to join our Consumer Insights Data Management & Analytics (DM&A) team. This team leverages technical expertise in applied data science, engineering, and solutions development to support a high-impact team of 90+ quantitative and qualitative researchers. The Consumer Insights team conducts cutting-edge research designed to help answer Netflix’s most complex business challenges. We work within a broad-based team of researchers, operations specialists, data scientists, and engineers to successfully complete diverse, high-quality research projects to provide vital data to collaborative initiatives that inspire action and innovation across the company.
In this role, you will leverage your expertise in statistics, causal inference, and research design to define robust and innovative sampling strategies, improve response rates, and mitigate or detect bias in consumer research. You will collaborate with researchers, data scientists, and engineers to build next-generation data pipelines, models, and products to ensure excellence in the quality and accessibility of our insights and help answer Netflix’s most complex business challenges. This is a high-impact role in which you will directly influence and establish scalable research programs at Netflix.
Visit our Research page to learn about what it’s like to work on Analytics at Netflix.
In this role, you will:
- Champion research innovation and establish a program culture of excellence in the conceptualization, design, analysis, and interpretation of consumer research in order to ensure the quality and actionability of our insights.
- Effectively leverage statistics causal inference frameworks to implement a scalable research recruitment and sampling strategy that enables global research across our Consumer Insights team.
- Work collaboratively and iteratively throughout the research lifecycle to support survey design, deployment, analysis, and interpretation.
- Consult with Legal and Privacy Engineering teams to ensure best practices in the collection, storage, retention and use of data collected across consumer surveys, focus groups, and other research methodologies.
- Partner with our product and message engineering teams to develop and adopt innovative methods of outreach for consumer research.
- Bring vision to a developing space, establishing best practices and develop dashboards, tools, or other data products to support consumer research at scale and increase the impact and efficiency of our CI team.
- Collaborate with Researchers, Engineers, and Data Scientists to conduct analyses and apply statistics and causal inference methods to answer specific day-to-day questions or support larger initiatives.
To be successful in this role, you have:
- Advanced degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field or relevant industry experience.
- Strong statistical knowledge and intuition - ideally utilized in experimentation, market, consumer, or social research settings.
- Ability to communicate technical and statistical concepts clearly and concisely among audiences at various levels.
- Expert quantitative analysis, programming, and data manipulation skills using SQL, R and/or Python, and version control (Github, Stash).
- Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems.
- Experience in building causal inference solutions is a plus
- Strong partnership skills and ability to execute and independently drive projects forward
- Experience working with 3rd party APIs for data ingestion is a plus.
The overall market range for roles in this area of Netflix is typically $150,000 - $900,000.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Tags: APIs Causal inference Data management Data pipelines Economics Engineering ETL GitHub Mathematics Physics Pipelines Privacy Python R Research SQL Statistics Streaming
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open NLP-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs