Data Scientist II (Remote)
Company: Payscale
Location: Philadelphia
Posted on: May 16, 2022
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Job Description:
Company Description
As the industry leader in compensation management, Payscale is on a
mission to help job seekers, employees and businesses get pay
right, and make sustainable fair pay a reality. Empowering more
than 53 percent of the Fortune 500 in 198 countries, Payscale
provides a combination of data-driven insights, best-in-class
services and innovative software to enable organizations such as
Angel City Football Club, Perry Ellis International, United
Healthcare, Vista and The Washington Post to make fair and
appropriate pay decisions. Pay is powerful. To learn more, visit
www.payscale.com
Job Description
What We Do: The Data Science Team focuses on building models that
leverage Payscale's five core compensation datasets to provide
accurate, high coverage estimates of compensation ranges for jobs
across industries and the globe. We use modeling techniques such as
Bayesian linear regression, hierarchical modeling, transfer
learning, NLP, and embeddings to model how different jobs are
related to each other in order to produce good compensation range
predictions. We do a mix of development on well-defined projects
and greenfield innovation on our own ideas. We build internal tools
(APIs and interactive demos (using e.g. streamlit)) to exhibit our
work. We value teamwork, learning together, maintainability,
documentation, and giving clear presentations about our work to
non-ML stakeholders. We are generalist problem solvers-we use (or
learn!) the best tool for the problem. Our team is remote with some
team members working out of offices in Seattle, WA and Burlington,
MA periodically.
Our team works closely with compensation domain experts to help
define the problems, identify and validate our assumptions, and
evaluate our predictions. We are supported by a separate Data
Engineering Team that helps turn our models into production APIs
for use in products across Payscale's portfolio.
What You Do: You will be designing and building machine learning
models that provide compensation estimates in low-data scenarios,
allow us to quantitatively compare jobs to each other (embeddings,
NLP), and quantify the impact that skills and other compensable
factors have on pay across jobs, industries, and locations. You'll
interface with domain experts and software engineers on a regular
basis. You'll give periodic presentations about your
models/findings to a technical, but not-ML-trained audience. Our
codebase is in Python, with some Pytorch and Tensorflow.
Day-in-the-Life
As a Data Scientist II, a typical day may include the
following:
First Year In Role
By your third month, you'll know how to access our datasets and
code. You'll be able to run the models that we are currently
developing, and you'll be contributing code to support these
models-e.g. a new component for the evaluation suite, an internal
head-to-head comparison of model results, or the application of one
of our models to a particular domain.
By your sixth month, you have completely ramped up on the team and
you'll own your own workstream: meeting with stakeholders,
designing and scoping solutions, building, and presenting your
findings and progress.
Qualifications
Tools
Additional Information
Benefits and Perks - The Highlights:
All Around Awesome Culture Where Together We Strive To
As part of our culture of transparency and commitment to employee
engagement, we have several programs and resources such as:
Our More Standard Benefits Include
Additional Highlights
Equal Opportunity Employer: We embrace equal employment
opportunity.
PayScale is committed to a policy of equal employment opportunity
for all applicants and employees. It is our policy that employees
will not be subjected to unlawful discrimination on the basis of
race, color, religion, sex, age, national origin or ancestry,
physical or mental disability, veteran or military status, marital
status, sexual orientation, political ideology and any other basis
protected by federal, state, or local laws. This policy applies to
all terms and conditions of employment, including but not limited
to: recruitment, hiring, transfers, promotions, training,
discipline, termination, compensation and benefits, performance
appraisals, education, and social and recreational programs.
Keywords: Payscale, Philadelphia , Data Scientist II (Remote), Other , Philadelphia, Pennsylvania
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