People Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are at a very exciting stage of evolution at Netflix. With the growth in scale, lines of business, geo-diversity, and heterogeneity of employee backgrounds, data and analytics continue to be amongst the most critical levers to drive our business success and enhance our employee experience. As a member of the team, you will help build the foundation for Talent Analytics and partner with executives to help drive business objectives with analysis.

What you will do

• Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze
• Utilize appropriate data science methodologies toward attracting, hiring, developing, and retaining qualified talent
• Create statistical models that explain or predict outcomes related to hiring, productivity, engagement, and attrition
• Data-driven and highly analytical, you can translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making within HR and with executives and leaders across the business
• You are able to align research priorities with business priorities and take a customer-focused mindset in working with stakeholders
• Leverage academic expertise and knowledge of the HR industry and people analytics trends to address practical business challenges
• Exercise traits of adaptability and good judgment to support organizational agility
• Be a constant learner, active listener, and teacher to advance data science, people analytics, and our organization
• You are conscientious in assessing data quality and in evaluating analytical choices

What you will need

• Experience in research design and advanced statistical analysis (including OLS regression and discrete outcomes) in which you manage and analyze both structured and unstructured data
• Ability to conduct statistical analysis using Python, R, or other modern programming languages
• Ability to access structured data with SQLBasic knowledge of survey design and analysis.Experience interpreting survey data and using it to drive decisions
• Understanding of the external people analytics landscape and trends
• Experience working with large practical datasets

Additional qualifications that are nice to have

• PhD or Master’s in a quantitative field where research and quantitative methods have direct applicability to people research in organizations (data science, statistics, economics, quantitative psychology, organization behavior, social psychology, sociology, bioinformatics/biostatistics, neuroscience, operations research, statistics, management science, etc.)