Ref#: R0024071

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 focused product team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, make it easy to apply, research companies, and connect qualified candidates to their job openings. With product teams 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: 11,770,000 - 14,470,000 JPY per year

Your job.

The SMB (Small and Medium Business) Labs group at Indeed is a versatile group of different product teams. We pride ourselves on being able to take on new challenges in completely new business areas and deliver impact.  We’re currently working on initiatives to help employers identify and connect with the most relevant candidates using automation and smart UX. 


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 data 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.

About you.

Requirements

  • 3+ years professional industry experience in Product Analytics/Data Analysis

  • Experience coding in Python, R or another programming language

  • Strong communication and collaboration skills

  • Ability to write and present results to both technical and non-technical audiences

  • Driven to proactively help their teammates and Indeed’s products

  • Experience designing and conducting complex projects


What we’d love to see (but isn’t required):

  • Master’s or PhD., with advanced coursework in statistics, machine learning, programming, or related skills

  • Relevant experience (including internships and/or research) in Business Analytics, Data Analysis, Product Management, Data Science, or related fields

  • 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


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


View our bounty of perks: [1] http://indeedhi.re/IndeedBenefits


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

Equal Opportunities and Accommodations Statement 
 
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, color, 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.