Data Scientist II United States

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Job title: Data Scientist II United States in Seattle, WA at Payscale

Company: Payscale

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 statistics (regression, hierarchical modeling, and transfer learning), deep learning (NLP, LLMs, and embeddings), and recommendation systems 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. 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 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, implemented in production-grade Python code, that provide compensation estimates in low-data scenarios and quantify the impact that skills and other compensable factors have on pay across jobs, industries, and locations. You’ll interface with domain experts, software engineers, designers and product managers on a regular basis. You’ll give periodic presentations about your models/findings to a technical, but non-ML-trained audience. Our codebase is in Python and runs on cloud infrastructure.Day-in-the-Life:As a Data Scientist II, a typical day may include the following:

Designing and building a new model

Implementing your model in production-grade readable, maintainable, and extensible Python, with version control and code reviews

Meeting with domain experts to get feedback on models

Documenting findings, identifying promising avenues for model improvement

Partnering with the Data Engineering Team to drive productionization of models

Participating in Data Science Book Club (bi-weekly open-invite learning workshop, currently focused on state-of-the-art NLP techniques)

Mentoring Data Analysts on analysis and visualization techniques (e.g. stats, regression)

Participating in team code reviews

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:

3+ years building and maintaining machine learning models with production- grade model training/retraining

Fluency in Python – object-oriented programming, pandas, scikit learn

Comfort with version control and environment management

Experience with one or more ML platforms, such as AWS Sagemaker or Azure ML in production

Proficiency in basic SQL (joins, grouping, ordering, views)

Experience using multiple supervised and unsupervised learning techniques with ability to compare approaches and results

Able to clearly articulate technical concepts to developers, managers, and less technical colleagues

Tools:

We code everyday using Python (Pandas, NumPy, SciPy, Scikit Learn, PyTorch)

For accessing our data we use Snowflake and SQL Server.

We currently productionize with Docker, Kubernetes, AWS, Azure, Team-City, and Octopus, but we're always experimenting with new tools

CompensationIn the spirit of pay transparency, we are excited to share the base salary range for this position is $116,400 - $174,600 exclusive of fringe benefits or potential bonuses. This position is also eligible for an annual corporate bonus of 10%. If you are hired at Payscale, your final base salary compensation will be determined based on factors such as skills, education, and/or experience. In addition to those factors – we believe in the importance of pay equity and consider any internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is the full base salary range for the role. Hiring at the maximum of the range would not be typical in order to allow for future & continued salary growth. We also offer a generous compensation and benefits package (more information on benefits listed below).Company DescriptionPayscale gives employers and employees confidence to know the what and why behind pay. With our leading data, technology, and experience we make it easier for you to connect compensation to goals.As the industry leader in compensation management, Payscale is on a mission to help job seekers, employees, and businesses get pay right and to make sustainable fair pay a reality. Empowering more than 50 percent of the Fortune 500 in 198 countries, Payscale provides a combination of diverse and dynamic data sources, experienced compensation services, and scalable software to enable organizations such as Angel City Football Club, Target, United Healthcare, Gainsight, eBay, and The Washington Post to make fair and appropriate pay decisions. To learn more, visitLocationPayscale has an employee centric remote-first model that provides you the flexibility to do your best work in a space that supports you, while also finding time to collaborate in person for the moments that matter.In our remote-first model, employees can work from the location that works best for them. We do not have centralized corporate offices. Employees can choose to work from home, in company-paid co-working spaces, or any combination of the two that best suits their unique needs.When it matters (usually no more than a few times a year) we take the time to gather for in-person events.Payscale has employees across the US, Canada, and the UK, however we are currently unable to hire in the Quebec Province, Northern Ireland, and Hawaii.Benefits and PerksAll around awesome culture where together we strive to live our 5 values:

Respect every individual, work as a team

Be Customer first, customer centric

Have a Bias towards action

Commit to excellence (we give our best everyday)

Make Data driven decisions

An open and inclusive environment where you’ll learn and grow through programs and resources like:

Monthly company All Hands meetings

Regular opportunities for executive leadership exposure through things like AMAs

Access to continued learning & development opportunities

Our commitment to a continuous feedback culture which allows us to drive performance and career growth

A growing network of Employee Resource Groups

Company sponsored volunteer hours

And more!

Our more standard benefits

Flexible paid time off, giving you the opportunity to rest, relax, and recharge away from work

14 Paid Company Holidays, including 2 floating holidays (you choose!)

A comprehensive benefits plan including medical, dental, life, vision, disability, and life insurance covered up to 100% by Payscale

Unlimited infertility coverage benefits through our medical plans

Additional supplemental health benefits offered to you and your family

401(k) retirement program with a fully vested immediate company match

16 weeks of paid parental leave for birthing and non-birthing parents

Health Savings Account (HSA) options and company contributions each pay period

Flexible Spending Account (FSA) options for pre-tax employee allocations

Annual remote work stipend to be used on wellness or home office equipment

We know the and can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.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.Fraud Alert:Payscale values security and privacy. During your job application and interview process, we will never ask for your personal banking or financial information, social security number, or other sensitive information, if you are unsure if a message is from Payscale, please email [email protected]

Expected salary: $116400 - 174600 per year

Location: Seattle, WA

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