Job Responsibilities: Data Scientist
Salary: $20-30/Hour
Company: Netflix
Location: Olympia, USA
Educational requirements: Bachelor's Degree
Netflix is one of the global's main streaming leisure offerings with 231 million paid memberships in over one hundred ninety nations taking part in tv series, documentaries, characteristic movies and cell video games throughout a huge style of genres and languages. We're revolutionizing how indicates and movies are produced, pushing technological limitations to efficaciously supply streaming video at a huge scale over the internet, and constantly enhancing and personalizing how content material is supplied around the globe.
We’re seeking out a passionate research information Scientist to join our customer Insights records control & Analytics (DM&A) group. This group leverages technical know-how in carried out records technology, engineering, and solutions improvement to support a high-effect group of 90+ quantitative and qualitative researchers. The patron Insights team conducts modern-day research designed to assist solution Netflix’s most complicated business challenges. We work inside a vast-based totally group of researchers, operations professionals, information scientists, and engineers to correctly entire numerous, excellent research projects to provide essential records to collaborative projects that inspire action and innovation across the company.
In this role, you'll leverage your expertise in facts, causal inference, and studies design to outline sturdy and modern sampling techniques, enhance reaction quotes, and mitigate or hit upon bias in consumer research. You will collaborate with researchers, data scientists, and engineers to build subsequent-technology information pipelines, fashions, and products to ensure excellence in the exceptional and accessibility of our insights and assist solution Netflix’s most complex commercial enterprise demanding situations. This is a excessive-impact function in which you'll immediately have an impact on and establish scalable research applications at Netflix.
Go to our research page to find out about what it’s like to paintings on Analytics at Netflix.
In this role, you'll:
- Champion studies innovation and establish a program tradition of excellence inside the conceptualization, layout, evaluation, and interpretation of purchaser research which will make sure the fine and actionability of our insights.
- Efficiently leverage statistics causal inference frameworks to implement a scalable studies recruitment and sampling strategy that allows worldwide research across our consumer Insights crew.
- Work collaboratively and iteratively all through the research lifecycle to support survey design, deployment, evaluation, and interpretation.
- Consult with prison and privateness Engineering groups to make sure satisfactory practices inside the series, garage, retention and use of information accumulated throughout customer surveys, cognizance groups, and other studies methodologies.
- Companion with our product and message engineering teams to broaden and undertake modern techniques of outreach for client research.
- Convey imaginative and prescient to a growing area, organising best practices and expand dashboards, gear, or different statistics products to guide customer research at scale and growth the effect and performance of our CI team.
- Collaborate with Researchers, Engineers, and statistics Scientists to conduct analyses and practice information and causal inference methods to reply particular daily questions or aid large tasks.
To be successful in this role, you've got:
- Advanced degree in records, arithmetic, Physics, Economics, or a related quantitative area or relevant industry revel in.
- Robust statistical information and instinct - ideally utilized in experimentation, market, client, or social studies settings.
- Capacity to speak technical and statistical standards truly and concisely amongst audiences at numerous levels.
- Professional quantitative analysis, programming, and statistics manipulation competencies the use of square, R and/or Python, and version manage (Github, Stash).
- Enjoy building multi-step ETL jobs/records pipelines and operating with job scheduling structures.
- Experience in building causal inference solutions is a plus
- Strong partnership competencies and capacity to execute and independently force tasks ahead
- Enjoy running with 3rd party APIs for records ingestion is a plus.
At Netflix, we cautiously remember a wide variety of repayment elements to decide your non-public top of marketplace. We depend on marketplace indicators to determine repayment and consider your precise process, abilties, and revel in to get it proper. Those concerns can purpose your reimbursement to differ and also will be dependent on your vicinity.
The overall market variety for roles on this region of Netflix is typically $150,000 - $900,000.
This marketplace range is primarily based on general reimbursement (vs. Most effective base income), which is in line with our reimbursement philosophy. Netflix is a completely unique way of life and surroundings. Study extra right here.
