Senior Data Scientist, People Analytics & Research

Greensboro NC News; United States; Remote; USD 180,000 - 210,000; Full time

Benefits offered by this job

Remote work eligibility

Job summary

Airbnb is seeking a Senior Data Scientist in People Analytics & Research to lead causal inference projects addressing hiring, pay, and retention. You will partner with Recruiting, Compensation, Legal, and Diversity teams to translate data into actionable insights that influence Total Rewards decisions.

The role is US remote-eligible, with a base pay range of $180,000 to $210,000 per year and opportunities to collaborate with cross-functional teams on impactful people analytics initiatives.

Qualifications

• 5+ years of industry experience in a quantitative role.
• Master's degree or PhD in a quantitative field.
• Experience with causal inference on observational data and quasi-experimental designs.

Responsibilities

• Collaborate with partners to understand people-related business problems and gather relevant data.
• Apply statistical models and data science methods to analyze recruiting, hiring, promotion, pay equity, and retention.
• Translate data insights into visualizations and narratives to drive strategy with senior leaders across the business.
• Lead compensation analytics and governance reporting in partnership with Legal and Total Rewards.

Skills

Causal inference

Observational data

Python

R

SQL

Survey design

Communication

Cross-functional collaboration

Education

Master's degree or PhD in a quantitative field

Tools

AirPanda platform

LLM-based agents

Job description

# Senior Data Scientist, People Analytics & ResearchAirbnbRemote - USA Pay not disclosed Posted 3w agoFull-TimeRemoteSource: greenhouse:airbnb · External Apply## About this jobAirbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will Join:People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.The Difference You Will Make:The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.A Typical Day: Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyzeUtilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness, among othersTranslate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the businessAlign research priorities with business priorities and take a customer-focused mindset in working with stakeholdersLead the team's compensation analytics - the recurring, legally sensitive analyses that inform Total Rewards decisions on pay, compensation structure, and talent awards - in close partnership with Employment Legal and Total RewardsLead design and measurement of Airbnb's quality-of-hire metric with Recruiting, and own sensitive statutory and governance reportingBe a constant learner, active listener, and teacher to advance data science, people analytics, and AirbnbUse AI fluently - including the team's AirPanda platform and LLM-based agents - to accelerate analysis, prototyping, and synthesis, and to extend what a single researcher can deliverYour Expertise:5+ years in industry experience and a Master's degree/PhD in a quantitative fieldDeep experience with causal inference on observational data and quasi-experimental research design and analysisProficiency in R or Python for statistical analysis, and SQL for data accessFamiliarity with survey design and analysis, as one of several methods in the toolkitExperience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive dataAbility to communicate clearly and effectively to cross functional partners of varying technical levels and drive impactExperience working with large practical datasetsYour Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [e-mail]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.Equal Employment Opportunity:Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.How We'll Take Care of You:Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$180,000—$210,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A f