Data Science Manager - Search Ranking and Personalization
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Your Job
About the Role
The Job Seeker Data Science group is excited to hire a Data Science Manager to help lead our Ranking and Personalization Science team in North America. This is a great opportunity for a Manager to guide the work of a new and rapidly growing team of 4-5 Data and Product Scientists in a highly visible and impactful business area. As a Data Science Manager, you will help hire and oversee junior scientists and a team tech lead, and coordinate with your fellow Ranking Science tech leads and managers. You’ll work with leaders across the business to develop Indeed’s innovative new personalization engine to recommend content to job seekers on Indeed’s homepage (and beyond!).
About the Team
The Ranking team at Indeed is responsible for determining the order of the jobs that we show on a search engine result page (SERP). It is a key lever in how we connect job seekers with employers, and over 220 million unique job seekers visit Indeed every month to find their next job. Currently, the broader Ranking Science team consists of a Data Science Manager, two Staff Data Scientists, and two Product Scientists. We expect the broader Ranking team to double this year.
The Ranking team consists of several sub-teams - this role will be part of what’s called the “Relevant Jobs Platform”, a new recommendation system that we’re building to help surface relevant content to job seekers. While the team is currently focused on Indeed’s homepage, longer term we anticipate the platform supporting other high-profile business areas. Currently, the team has one dedicated Scientist - we anticipate that by the end of the year, the team will have nearly ten scientists from new graduates to principal data scientists. This is an excellent opportunity for anyone eager to help grow a new team and recommendation system.
Who You Are
Your Responsibilities as a Data Science Manager on Search Ranking and Personalization
Coach Data Scientists on the Ranking and Personalization team to improve their performance, advise them on their career direction, and develop their skills
Work independently to understand, prioritize, and plan the team’s work items
Ensure delivery of data science solutions, set expectations for what can be done and by when, and prioritize incoming projects
Improve existing Agile, ML, and A/B testing processes and develop new ones
Scope projects, gather and improve on requirements, and delegate work effectively
Collaborate with and provide project direction and feedback to cross-functional peers, including Product Managers, Software Engineers
Remove roadblocks and give individual contributors autonomy and ownership
Brainstorm with teammates about practical experimental design, navigating production codebases, and model development
Who you are
Ph.D. or M.S. in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent
Significant prior success as a Data Science or Machine Learning Engineering Manager (3+ direct reports) working on challenging problems at scale
5+ years of industry experience, with expertise in machine learning, statistical modeling
Strong ability to code (Python, Java, Go, or C++) and experience with SQL Databases like Presto, and data processing frameworks like Spark
Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring
Strong ability to coach Data Scientists, helping them improve their skills and grow their careers
Passionate to help people get jobs
We get excited about candidates who have experience in
Information retrieval and web search applications
Building and scaling recommendation systems
Hiring for, onboarding, and scaling new teams
Presenting results to senior leadership
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
US Remote 149,000 - 217,000 USD per year
Seattle 179,000 - 260,000 USD per year
NYC Metro Area 174,000 - 252,000 USD per year
SF Bay Area 187,000 - 270,000 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.
Fair Chance Hiring
We 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, a fair chance at employment.
Our Policies and Benefits
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.
About the Role
The Job Seeker Data Science group is excited to hire a Data Science Manager to help lead our Ranking and Personalization Science team in North America. This is a great opportunity for a Manager to guide the work of a new and rapidly growing team of 4-5 Data and Product Scientists in a highly visible and impactful business area. As a Data Science Manager, you will help hire and oversee junior scientists and a team tech lead, and coordinate with your fellow Ranking Science tech leads and managers. You’ll work with leaders across the business to develop Indeed’s innovative new personalization engine to recommend content to job seekers on Indeed’s homepage (and beyond!).
About the Team
The Ranking team at Indeed is responsible for determining the order of the jobs that we show on a search engine result page (SERP). It is a key lever in how we connect job seekers with employers, and over 220 million unique job seekers visit Indeed every month to find their next job. Currently, the broader Ranking Science team consists of a Data Science Manager, two Staff Data Scientists, and two Product Scientists. We expect the broader Ranking team to double this year.
The Ranking team consists of several sub-teams - this role will be part of what’s called the “Relevant Jobs Platform”, a new recommendation system that we’re building to help surface relevant content to job seekers. While the team is currently focused on Indeed’s homepage, longer term we anticipate the platform supporting other high-profile business areas. Currently, the team has one dedicated Scientist - we anticipate that by the end of the year, the team will have nearly ten scientists from new graduates to principal data scientists. This is an excellent opportunity for anyone eager to help grow a new team and recommendation system.
Who You Are
Your Responsibilities as a Data Science Manager on Search Ranking and Personalization
Coach Data Scientists on the Ranking and Personalization team to improve their performance, advise them on their career direction, and develop their skills
Work independently to understand, prioritize, and plan the team’s work items
Ensure delivery of data science solutions, set expectations for what can be done and by when, and prioritize incoming projects
Improve existing Agile, ML, and A/B testing processes and develop new ones
Scope projects, gather and improve on requirements, and delegate work effectively
Collaborate with and provide project direction and feedback to cross-functional peers, including Product Managers, Software Engineers
Remove roadblocks and give individual contributors autonomy and ownership
Brainstorm with teammates about practical experimental design, navigating production codebases, and model development
Who you are
Ph.D. or M.S. in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent
Significant prior success as a Data Science or Machine Learning Engineering Manager (3+ direct reports) working on challenging problems at scale
5+ years of industry experience, with expertise in machine learning, statistical modeling
Strong ability to code (Python, Java, Go, or C++) and experience with SQL Databases like Presto, and data processing frameworks like Spark
Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring
Strong ability to coach Data Scientists, helping them improve their skills and grow their careers
Passionate to help people get jobs
We get excited about candidates who have experience in
Information retrieval and web search applications
Building and scaling recommendation systems
Hiring for, onboarding, and scaling new teams
Presenting results to senior leadership
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
US Remote 149,000 - 217,000 USD per year
Seattle 179,000 - 260,000 USD per year
NYC Metro Area 174,000 - 252,000 USD per year
SF Bay Area 187,000 - 270,000 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.
Fair Chance Hiring
We 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, a fair chance at employment.
Our Policies and Benefits
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.
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