Workforce Insights Data Scientist

Job description

DESCRIPTION

Do you have the passion to drive performance of a business through creative analytical insight? Are you excited about Human Resources and bringing science to the art of managing and developing an extremely talented workforce? We are looking for a passionate, insightful, results-oriented Analyst to join a team chartered with building Human Resources Analytics for all of Devices & Services. From statistical analysis, predictive analytics, product building for reporting designed to scale, and requirements gathering, we do it. All with an aim to more effectively attract and develop our most valuable of all resources – our people.

The Data Science, Workforce Insights role is ideal for someone with the analytical acumen to discover and communicate valuable staffing and workforce insights and recommendations.

In this role, you will closely partner with the Devices & Services HR and Talent Acquisition leadership team. You will also work closely with cross-functional teams and leaders to understand business goals and priorities, in order to effectively and accurately strategize, plan and execute initiatives as it relates to workforce plans. Excellent interpersonal & communication skills, the ability to influence at an executive level, and the ability to tell customized end-to-end headcount progress-to-goal and movement story will be critical for success.

This role performs advanced business analysis using various techniques and modeling (e.g. statistical, explanatory and predictive modeling and SQL data mining).

The Team: How often have you had an opportunity to be a member of a team innovating and solving some of the world's toughest problems? You can expect all the challenges and benefits of a growing business: lots of room for improvement and innovation, a close-knit team that cares about one another as humans, and a fast-paced environment. These will require a willingness to dive into the details, solve new problems as they arise, leverage high judgment and gut instinct, look around corners, and always obsess over customers. Everyone on the team wears multiple hats, and ownership our end-products is key.

Responsibilities:
· Collaborate with HR, business leaders, and peer analysts/researchers on hypothesis-driven research projects to inform business actions
· Design, develop and evaluate Talent Acquisition (TA) business reporting and insights
· Establish scalable, efficient, automated, and easily repeated processes for large scale data analyses for the broader Amazon Devices org
· Provide ad-hoc or special project statistical analysis to TA, HR and business leaders that enable them to achieve their goals, drive decision making and create new strategies where necessary
· Gather, manage, and evaluate large datasets from multiple sources
· Build and maintain strong partnerships across TA, HR and the business

Desired profile

BASIC QUALIFICATIONS

· Master degree in Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field and 1+ years of industry experience.
· 1+ years of relevant working experience in an analytical role involving data extraction, cleaning, manipulation ((e.g. SQL).
· 1+ years of experience with building, iterating and validating statistical models (e.g. R, Python).
· Excellent verbal and written communication. Strong ability to interact, communicate, present, and influence within multiple levels of the organization
· Strong troubleshooting and problem solving skills