Company Description

PayScale is the world leader in modern compensation software. Our rich data and unique algorithms power the world’s largest real-time database of salary profiles, giving both employers and employees immediate visibility into the right pay for any position. We are bringing the dark art of compensation into the light by helping more than 6,500 businesses to stay competitive in the labor market and retain and manage their largest investment: their people.

We’re disrupting the compensation industry and are looking to bring on talented professionals with diverse perspectives. We foster a playful work atmosphere where highly motivated individuals can be truly innovative. Are you bright, tenacious, and inventive? If so, PayScale may be the perfect place for you to grow your career!

We are a fast-growing Warburg Pincus portfolio company who is thrilled to have brought the MarketPay product into our suite of offerings in 2016, and started a strategic alliance with Mercer in 2017. We can't wait for you to join us!

Job Description

Does the opportunity to work with a truly unique compensation dataset that comprises nearly a third of the U.S. working population excite you? What about working on important issues like pay equity?

The Data Science team at Payscale works on a variety of different machine learning problems that have a direct impact on people's lives by improving compensation practices. We are a small team working on high impact projects that drive innovation in our customer facing products and across the organization. The Data Science team partners closely with data engineers, product managers, and other internal stakeholders to design and develop the machine learning applications that power our compensation tools. In this role you will be leading a team of data scientists and data analysts focused on building and improving algorithms around salary prediction, natural language processing, recommendations/search systems, client retention, and lead scoring.

What You'll Be Doing

• Bring your deep knowledge of Data Science and Machine learning to help the team plan and execute on building/training machine learning models while managing the expectations of your stakeholders against the needs of the business and customer
• Work with key partners across the organization to help inform prioritization and strategy and identify how to maximize the value of our products with data.
• Collaborate with Data Engineering teams to productionalize and deploy machine learning models into scalable services
• Advocate for solid data collection practices with reliable maintainable code that can generate a complete and statistically reliable global data set of jobs and compensation amounts.
• Hands-on leader of team that iteratively design, code, train, test, deploy, and improve machine learning algorithms
• People manager with ability to be hands on as needed
• Practice organizational efficiency to maintain reasonable workload and work-life balance for the team.
• Provide mentorship to help progress team in careers.
• Work in an agile development environment; maintaining a backlog, building out sprints and coordinating work through a JIRA board
• Help to expand the team’s capacity over time through training and hiring to meet greater demands for more data science models across the entire product portfolio.
• If you enjoy seeing a project all the way from concept to production this is an excellent opportunity within a collaborative SaaS company.
• Technologies We're Using
• Python (pandas, scikit-learn, NumPy, SpaCy), SQL, Tensorflow, Snowflake, Postgres, Azure, AWS, Git, and Docker

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Qualifications

• You have 4+ years experience building machine learning models/services
• You have 2+ years experience as a people manager or related leadership experience
• You have 2+ years working in a SaaS or Enterprise software environment
• You have experience completing data science projects through the entire lifecycle, from inception to production.
• You are thoughtful in the evaluation of your models, improving them over time as they interact with real users
• You can effectively communicate and demonstrate the value of the Data Science team and their accomplishments to anyone in the company—from executive leadership to product and engineering teams
• You have excellent coding skills, especially in Python or R
• You have a working understanding of database systems and experience writing SQL queries.
• You care about the reliability and maintainability of your code.
• Familiarity/experience with unit testing and crafting testable code.
• You have some experience with cloud providers (AWS, Azure, or Google Cloud).
• Prior experience working with compensation/HRIS/Payroll data sets is a plus
• Prior experience with PII (personally identifiable information) data is a plus
• Benefits
• HackDay Events with the entire tech org
• Dedicated time for learning and access to LinkedIn Learning

Additional Information

PayScale provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. PayScale complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Benefits We Offer:

• Unlimited Paid Time Off policy
• 100% company paid medical/vision/dental/prescription premiums for employees (50% for eligible dependents and partners)
• Four Flexible Spending Account (FSA) options for pre-tax employee allocations towards: Medical, Dependent Care (can be used towards day care costs!), Parking, Tansit.
• Long Term Disability, Short Term Disability, and Company-paid Life Insurance
• Generous Parental Leave, 4-12 weeks
• 10 paid holidays!
• Summer office closure, entire week of July 4th
• 401k with company match, vests immediately

Perks:

• Casual dress code (JSS - Jeans, shorts, and sandals welcome!)
• Onsite gym
• Onsite lockers, showers, and clothes dryer
• Bike storage
• Coworkers you actually like...
• Gender neutral bathrooms on most floors
• Mothers' Room
• Sitting-Standing ergo friendly desks
• Weekly company sponsored happy hours
• Fido Fridays (our canine colleagues join us the first Friday of every month. WOOF!)