Here is what Netflix expects from its Data Scientists:
Responsibilities:
Work with business stakeholders and as a strategic partner and find creative ways to solve high-impact analytical problems with data
Work closely with leadership on various teams to generate insights and propose decisions
Research and build performance indicators and key metrics
Build and deploy mathematical models and ML models that improve payments processing and enable fraud detection
Develop dashboards and visualizations that will allow stakeholders to work with metrics and trends by themselves. Assist and educate on interpretation
Automate repetitive ad-hoc requests
Requirements:
Strong statistical skills - causality/incrementality vs. correlations, probabilistic graphical models, experimentation, predictive modeling, time series
Data analysis, reporting, and visualization with Tableau, D3, etc.
Can build and deploy models
Skills in Big Data (Hadoop, Hive, Spark, Presto etc.)
Data crunching or numerical computing experience in Python, R, Julia, etc.
Able to write ad-hoc data pipelines and ETLs for self-use
Quantitative educational background
Other Requirements:
Prefer action and quick iteration to perfection
Able to multitask, work independently, and drive their own projects
Excellent interpersonal and communication skills
Able to continue strong stakeholder relationships
Open to ambiguity
A Netflix fan!
To kick-start your career and be an expert in the area of Data Science I would strongly recommend you to go with Intellipaat's Data Science Online Course in Collaboration with IIT Madras
Here is a list of Data Science interview questions you can go through:
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