Sr. Data Scientist

Austin, Texas, USA

Full Time Senior-level / Expert
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Posted 1 week ago

Do you want to reinvent HR on a cross-functional incubation team? Are you passionate about using science to build disruptive solutions that challenge status-quo? Do you want to fundamentally redefine talent management for one of the largest and most complex workforces in the world? If you are, we want to talk to you.

A day in the life
As a Senior Data Scientist, you will leverage data, customer feedback, algorithm design, machine learning, econometrics, and predictive analytics to “think big” and define new ways to evaluate, visualize, and predict talent outcomes and decisions like hiring, promotions, and transfers. After you have developed peer-reviewed scientific solutions to these unique problems, you will partner with economists, data scientists, software engineers, data engineers, applied scientists, product managers, and UX designers to deliver your solution to tens of thousands of internal customers through world-class product experiences.



About the hiring group
WW Consumer Talent Products Team is looking for a world-class Senior Data Scientist for our science innovation arm, Skunkworks. Skunkworks is a cross-functional incubation team within HR, comprising scientists and technologists. We innovate industry-leading scientific solutions that inform human decision making throughout the talent lifecycle. We explore complex problems through innovative solutions in Organizational design, Exec development planning, Talent movement, and more! This requires us to invent years ahead of current state. We are intentional about our innovation by creating experiments to prove our “think big” concepts with pilot customers through prototypes, prior to scaling the solution.

Job responsibilities
* Research and implement statistical and ML modeling techniques (e.g. Bayesian models, NLP, graph networks, optimization methods) to different applications in talent decision making
* Providing technical/science leadership, collaborative research, and creative problem solving to drive continued scientific innovation.
* Prototype and implement highly innovative learning algorithms and prediction techniques
* Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale
* Constructively critique peer research and mentor junior scientists and engineers
* Presenting results, reports, and data insights to both technical and business leadership.


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.

Basic Qualifications


· PhD/M.S. in Computer Science, Machine Learning, Operational Research, Statistics, or a related quantitative field
· At least 5+ years of hands-on experience in developing and applying models in a production environment
· Strong software design, coding, problem solving, and complexity analysis skills
· Experience in at least one scripting language (Perl, Python, or similar)

Preferred Qualifications

· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
· Excellent verbal and written communication skills
· Experience with fast prototyping
· Familiarity with AWS services (S3, Redshift, Sagemaker, Glue)
· Ability to work on a diverse team or with a diverse range of coworkers

Job tags: AWS Engineering Machine Learning ML NLP Perl Python Redshift Research SageMaker UX
Job region(s): North America
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