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Staff Product Scientist - Segmentation

Company: Indeed
Location: Austin
Posted on: September 22, 2022

Job Description:

Your JobAs a Product Scientist you are 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. You will 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. You will need to think as a Product Manager and Job Seeker to allow us to make tradeoffs that result in the best outcomes overall.We help people get jobs. The Job Seeker Segmentation team is a group of engineers, designers, segment managers and product managers who are responsible for finding unique ways to tailor our search experience to different sets of users.
We support millions of job seekers looking for jobs and through research identify what matters the most to different segments of users. Through this research we develop tooling and augment our search experience to provide a customized and effective experience that makes it easier for the job seekers to find their perfect job. Our work integrates with many teams across Indeed and requires highly technical, innovative, flexible thinkers with excellent communication and passion for delivering the best experience to help people get jobs.Responsibilities

  • 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 data scientists and software engineers to expand Indeed's catalog of tools, techniques, and best practices for manipulating and interpreting terabytes of product data.
  • Work across a wide range of related areas - data extraction and cleansing, feature engineering, machine learning, exploratory analysis, data quality analysis, experimental analysis.
  • Be a part of a new team establishing infrastructure ground work, questioning why we do things a lot, and creating a culture of curiosity.Who You Are
    • BS/MS in Computer Science, Statistics, Mathematics or a closely related quantitative field
    • 7+ years of professional industry experience in Data Science, Business Analytics, or Data Analysis
    • Experience coding in Python, R or another advanced data programming language
    • Ability to synthesize findings and present them visually and intuitively to tell a story and drive action
    • Familiarity with statistical concepts as applied to A/B testing or survey methodologies
    • High empathy for end users and how to leverage qualitative as well as quantitative dataWe get excited about candidates who:
      • Have worked on experimentation analysis in industry, ideally for real online products
      • Have worked on A/B testing with real online products about end user changes
      • Worked with news feed, search or recommendation systems beforeWho we areWe 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 MissionAs 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, September 2021)Salary Range DisclaimerThe 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 TransparencyAustin 154,000 - 224,000 USD per yearNYC Metro Area 171,000 - 247,000 USD per yearSF Bay Area 180,000 - 260,000 USD per yearSeattle 164,000 - 239,000 USD per yearUS Remote 154,000 - 224,000 USD per yearEqual Opportunities and Accommodations StatementIndeed is a proud equal opportunity employer. We are deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We are committed to creating an environment where all employees feel included and have a strong sense of belonging. All qualified applicants will be considered for employment without regard to race, color, religion, gender, gender identity or expression, family/marital status, refugee or immigration status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, veteran status, or any other non-merit based or legally protected grounds.
        We encourage people from all backgrounds to apply and join us in our mission of helping people get jobs.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.
        Fair Chance HiringWe value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals and individuals with arrest or conviction records, a fair chance at employment. We also comply with state and local requirements such as the San Francisco Fair Chance Ordinance.Our Policies and BenefitsView Indeed's Applicant Privacy and Accessibility Policies - https://www.indeed.com/legal/indeed-jobsLearn 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.
        Reference ID: 41612

Keywords: Indeed, Austin , Staff Product Scientist - Segmentation, Other , Austin, Texas

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