Senior Applied Scientist, People eXperience & Technology Central Science (PXTCS)

Amazon • Arlington, VA

1d

About The Position

The People eXperience and Technology Central Science Team (PXTCS) uses
economics, behavioral science, statistics, and machine learning to proactively
identify mechanisms and process improvements which simultaneously improve Amazon
and the lives, wellbeing, and the value of work to Amazonians. We are an
interdisciplinary team that combines the talents of science and engineering to
develop and deliver solutions that measurably achieve this goal.

We are seeking a senior Applied Scientist with expertise in more than one or
more of the following areas: machine learning, natural language processing,
computational linguistics, algorithmic fairness, statistical inference, causal
modeling, reinforcement learning, Bayesian methods, predictive analytics,
decision theory, recommender systems, deep learning, time series modeling. In
this role, you will lead and support research efforts within all aspects of the
employee lifecycle: from candidate identification to recruiting, to onboarding
and talent management, to leadership and development, to finally retention and
brand advocacy upon exit.

The ideal candidate should have strong problem-solving skills, excellent
business acumen, the ability to work independently and collaboratively, and have
an expertise in both science and engineering. The ideal candidate is not
methods-driven, but driven by the research question at hand; in other words,
they will select the appropriate method for the problem, rather than searching
for questions to answer with a preferred method. The candidate will need to
navigate complex and ambiguous business challenges by asking the right
questions, understanding what methodologies to employ, and communicating results
to multiple audiences (e.g., technical peers, functional teams, business
leaders).

About the team
We are a collegial and multidisciplinary team of researchers in People
eXperience and Technology (PXT) that combines the talents of science and
engineering to develop innovative solutions to make Amazon Earth's Best
Employer. We leverage data and rigorous analysis to help Amazon attract, retain,
and develop one of the world’s largest and most talented workforces.

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Nice To Haves

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree