Data Scientist, Workforce Intelligence

Job summary
The Workforce Intelligence (WFI) team is looking for a Data Scientist to help us define and build the future of high-volume hiring analytics. You will play a critical role in the design and implementation of a strategic product for Amazon and help connect millions of applicants with professional opportunities at Amazon. You will be surrounded by people who are passionate about new technology trends, and believe that state-of-the-art product is critical to customer success

Key job responsibilities
We are looking for a Data Scientist to join our rapidly growing team. As a Data Scientist, you can use a range of data science methodologies to solve challenging business problems when the solution is unclear. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning. Our team has access to a variety of AWS tools such as Redshift, Sagemaker, Lambda, S3, and EC2 with a variety of skillsets in Tabular ML, NLP, Forecasting, Probabilistic ML and Causal ML. You will bring knowledge in many of these domains along with your own specialties and skillsets.

A day in the life
The candidate will work closely with product and technical leaders throughout WFI and will be responsible for influencing technical decisions in areas of development/modelling that you identify as critical future product offerings. You will ensure ease of data-driven decision making for the team and, and build programs to raise the bar in predicting and tuning outcomes for customers.

About the team
Team:
The vision of WFI 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 more efficiently while also providing a unique voice for the hourly workforce.

Work/Life Harmony
Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we work with you to determine how to achieve that balance because we believe that one size does not fit all.

Inclusive Team Culture
Here at WFI, we embrace our differences. We are committed to furthering our culture of inclusion. We are constantly creating avenues that allow each one of us to be a part of Amazon’s employee led community groups. Within the team as well, we have an employee led group that leads efforts on employee engagement and activities. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, design discussions, and code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop.

Basic Qualifications

· Bachelor's Degree
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist

Preferred Qualifications

· Master’s Degree in a quantitative field such as Statistics, Computer Science, Applied Mathematics, Economics
· 4+ years of experience with experiment design involving algorithm development, machine learning, data mining, and use of other statistical approaches
· 5+ years of experience as a data scientist, economist, applied scientist, research scientist or equivalent data analytics role
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Experience working with human capital data
· Experience using Amazon technologies – Redshift, Sagemaker, Athena, S3, EC2, etc.



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.