Ref#: R0023863

Our mission.

As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.

The team.

We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.


The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various 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, Long Term Incentives, an open Paid Time Off policy, and many region-specific benefits. 


Tokyo Base Salary Range: 13,100,000 - 15,720,000 JPY per year


Your job.

The Candidate Recommendation team builds machine learning models that recommend best-match candidates for jobs posted on Indeed. The team’s mission is to build the world’s best AI matchmaker that can connect all jobs with the right jobseekers. To achieve this, the team leverages rich data on Indeed and works closely with teams in Tokyo, Austin, and Seattle to deliver recommendations. We use various techniques related to information retrieval, ranking, deep learning, and NLP, and our engine powers multiple major Indeed products.  Also, we come from diverse backgrounds, spanning many nationalities from Asia, Europe, and the US.


We focus on innovating on the way people get jobs and employers hire people. What if employers can locate qualified candidates within a few hours of job posting and start conversations with them? What if jobseekers get to know of the opening of their dream job right after it’s posted on the web and get hired within a few days?

We develop search ranking models using various data with machine learning to show jobseekers matched with jobs while also helping employers find the right candidates quickly.


We are looking for a data scientist to accelerate this innovation with their technical, product, and people leadership. As a Data Scientist, you would:


  • Build systems/technologies to identify best matches between jobseekers and employers, and to turn those matches into hires

  • Conceptualize, analyze, build, test, and implement models that use diverse data sets and advanced methodologies

  • Participate in code and design reviews to maintain our high development standards

  • Communicate concisely and persuasively with engineers, product managers, and other data scientists regarding technical ideas, successes, and failures

  • Create reusable, maintainable data science components

About you.

We are looking for someone who is passionate about data and coding, loves intellectual challenges, is eager to learn, and wants to work with a variety of technologies to solve interesting problems.


EXPERIENCE


  • Strong sense of ownership as a technical, product, and people leader

  • Strong desire to solve tough problems with quality software at scale

  • Degree in Computer Science, Statistics, Mathematics, Machine Learning, or a closely related field

  • 2+ years of professional industry experience in data science / machine learning / analytics

  • Production development of data science solutions using Python, R, Scala, Java, or C++

  • Solid knowledge of programming, including data structures and algorithms

  • An understanding of the value derived from shipping code/models rapidly to production and learning/iterating on the results


NICE TO HAVE


  • Expertise in ranking and recommendation systems

  • Expertise in natural language processing

  • Experience with Tensorflow or PyTorch

  • Experience with data engineering

  • Experience with AWS


Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.

View our bounty of perks: http://indeedhi.re/IndeedBenefits  


View Indeed's Applicant Privacy Terms: https://www.indeed.com/legal/applicant-privacy



EEO and Accommodations 

 

Indeed is deeply committed to creating 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, colour, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, 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 +81 3 4563 2563, or by email at TAhelp@indeed.com at least one week in advance of your interview.