Staff Product Scientist – Monetization

Your Job

The SMB Monetization Group focuses on growth and monetization for Indeed’s flagship employer product.

Every day, we help employers around the world post jobs and find the best candidates.

Our team works on many of the highest impact strategic initiatives at the company’s marketplace.

You will be responsible for the team that defines the value proposition for small to medium businesses.

The Monetization team builds experiences that help employers select the right products to help them make a hire.

One of our core principles is a dedication to data-driven decision-making.

To do that well, we need product scientists with a strong product sensibility to work alongside our product managers and technical leads.

Our Product Science team is a part of the Indeed Data Science group.

While machine learning is one tool in our toolbox, Product Scientists use a variety of skills with the goal of driving business impact using whatever tools necessary.

Responsibilities
Help people get jobs!
Use quantitative analysis, data mining, and machine learning techniques to understand how hundreds of millions of jobseekers and employers are interacting on Indeed, and how those interactions are reflected in our data.
Work alongside product managers and engineering teams to help guide tactical and strategic product decisions.
Design and use statistically sound methodologies for evaluating hundreds of tests on thousands of web pages across dozens of business-relevant metrics.
Work alongside other scientists and software engineers to expand Indeed’s catalog of tools, techniques, and best practices for manipulating and interpreting terabytes of product data.
Share your work to a diverse audience across a variety of media.

Help us promote and practice transparency by highlighting failures that we learn from as much as successes.
Work across a wide range of related areas: data extraction and cleansing, feature engineering, machine learning, exploratory analysis, data quality analysis, experimental analysis.

Who You Are

Requirements
7+ years of professional industry experience in Data Science, Business Analytics, or Data Analysis
Any suitable combination of experience of education, training, or experience is acceptable.
Experience coding in Python, R or another advanced data programming language
Strong communication and collaboration skills
Experience designing and conducting complex projects
Ability to write and present results to both technical and non-technical audiences
Passion to answer Product/Engineering questions with data
What we’d love to see (but isn’t required):

Experience building and/or pulling data using SQL
Production experience with machine learning and other advanced statistical methods
Deep understanding of designing and implementing A/B tests, and advanced extensions

Who we are

We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet.

With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad, Dublin, Aberdeen and Vancouver, we are improving people’s lives all around the world, one job search at a time.

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs.

We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves.

We’re looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*comScore Total Visits, March 2021)

Salary Range Disclaimer

The base salary range represents the low and high end of the Indeed salary range for this position.

Actual salaries will vary depending on factors including but not limited to location, experience, and performance.

The range listed is just one component of Indeed’s total compensation package for employees.

Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits.

Salary Range Transparency

Austin 147,000
– 213,000 USD per year

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized.

We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.
Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process.

To request an accommodation, please contact Talent Attraction Help at 1-855-567-7767, or by email at TAhelp@indeed.com at least one week in advance of your interview.

Our Policies and Benefits

View Indeed’s Applicant Privacy and Accessibility Policies
– https://www.indeed.com/legal/indeed-jobs
Learn about our global employee perks, programs and benefits
– https://benefits.indeed.jobs/

Where legally permitted, Indeed requires all individuals attending or working out of Indeed offices or visiting Indeed clients to be fully vaccinated against COVID-19.

For positions that can only be performed at an Indeed office, candidates must be fully vaccinated against COVID-19 and present acceptable proof of vaccination by the date of hire as a condition of employment.

For positions that require some in-office work or in-person client meetings, exceptions to these in-office or in-person job requirements may be made at the discretion of the business through June 2022, at which point full vaccination will be required.

Indeed will consider requests for reasonable accommodation as required under applicable law.

To qualify as being fully vaccinated against COVID-19 there should have been a two week period after receiving the second dose (or any government recommended booster shot) in a 2-dose COVID-19 vaccine series, or a two week period after receiving a single-dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.