Data Scientist II, Funnel Science, Funnel Science

Key Skills

Java Programming, Management, Python Programming, Database, SQL, AWS, Machine learning techniques, Data science techniques, A/B Testing, Data Visualization, R Programming, Algorithms, Amazon RedShift, AWS Sagemaker, Probabilistic Graphical Models, MS Dynamics

Job Description

Amazon’s mission is to be the most customer centric company in the world. The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. This organization leads and influences global workforce strategies that enable Amazon to scale operations more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, experimentations, ML driven modeling, and data engineering. Amazon’s mission is to be the most customer-centric company in the world and we are on the front lines of that mission by providing robust research, data science and analytics to fill our jobs across the globe.

You will identify data requirements, build methodology and tools that are statistically grounded. You will develop and produce actionable insights that allows our staffing teams to uncover opportunities to improve hiring funnel conversions. You will provide data-driven solutions that increase the efficiency of our hiring pipeline and improve candidate experience.

Inclusive Team Culture

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.

Flexibility

It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

Key job responsibilities

Key responsibilities include:

• As a Data Scientist (DS) in Funnel Science in Workforce Intelligence, you will do causal data science, build predictive models, conduct simulations, create visualizations, and influence data science practice across the organization.
• Provide insights by analyzing historical data from databases (e.g., Redshift).
• Create experiments and prototype implementations of new learning algorithms and prediction techniques.
• Research and build machine learning model that improve hiring funnel efficiency at scale.

BASIC QUALIFICATIONS

• 2+ years experience conducting end-to-end causal data science (using causal framework to build prediction systems) in an applied setting.
• Experience in causal modeling (e.g., graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments) and data science workflows (e.g., regularized regression, random forest, LightGBM); obtained from previous work experience or through a Master’s degree or higher (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines).
• Advanced level of proficiency in SQL and in one scripting language (e.g., R, Python).
• Experience applying various machine learning techniques for forecasting, and understanding the key parameters that affect their performance
• Project Management experience.

PREFERRED QUALIFICATIONS

• Experience with applying systems dynamics principles, computational modeling, and system simulation.
• Experience building visualizations to communicate findings.
• Experience with AWS Machine Learning workflows (e.g., SageMaker).
• Experience with hosting production quality code in AWS infrastructure.
• Experience with applying data science in HR, Marketing, Advertising, or the social and behavioral sciences.
• Front-end development experience, creating prototypes, and interactive visualization.
• Experience with multi-armed bandits, Lifetime Value, Self-learning systems, optimization techniques and algorithms, and computational social science.
• Experience consulting with senior management and executives in a fast-paced environment.
• Ability to work on a diverse team or with a diverse range of coworkers.