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Principal Data Scientist - Match Recommendations

Company: Indeed
Location: Denver
Posted on: November 22, 2021

Job Description:

Your JobThe Match Recommendations team builds machine learning models that recommend best-match jobs to job seekers on Indeed. The team's mission is to build the world's best AI matchmaker that can connect all jobseekers with their next job. To achieve this, the team leverages unparalleled rich data and state-of-the-art machine learning systems to deliver the highest quality matches to jobseekers and employers.As a Principal Data Scientist on the Match Recommendations team, you will:

  • Build highly scalable and performant recommendation systems and technologies that can identify best matches between millions of jobs and millions of job seekers in real-time
  • Experiment with POC ML model improvements, scale them to production, and run iterative AB experiments to improve our matching technology
  • Represent Indeed at major ML conferences like NeurIPS, ICML, and ICLR
  • Mentor and grow other software engineers and data scientists across teams
  • Break down larger ML initiatives into pieces that deliver incremental business value and lead the team to execute on themWho You AreYou're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions and how to train others to do so. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. You produce the highest quality Machine Learning solutions and lead others to do the same. You have high standards and will take pride in Indeed like we do as well as push us to be better. You have delivered challenging technical solutions at scale. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.Required Skills
    • 10+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer (or 7+ with a PhD or MS)
    • Prior success deploying (impactful) Machine Learning solutions to large-scale production systems
    • Solid knowledge of data structures and algorithms
    • Strong sense of ownership as a technical and product leader
    • Excellent communication skills, both written and verbal with both technical and business audiencesWe get excited about candidates who:
      • Have the desire to solve difficult problems at the intersection of machine learning, data engineering, and software engineering
      • Have extensive experience and knowledge with cloud technologies (AWS preferred)
      • Have search technology experience such as Lucene, Solr and/or Elasticsearch
      • Have prior success deploying Recommender Systems / Search Ranking / etc. to large-scale production systemsWho we areWe are a Product team driven by data, and focused on building the most popular job site on the planet. With product teams in Seattle, San Francisco, Austin, Tokyo, Hyderabad, Singapore and Vancouver, we are changing the way people get jobs all around the world.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, March 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 TransparencySF Bay Area 223,000 - 324,000 USD per yearEqual Opportunities and Accommodations StatementIndeed 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 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. 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.SDL2017

Keywords: Indeed, Denver , Principal Data Scientist - Match Recommendations, Other , Denver, Colorado

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