Senior Data Scientist, People Analytics and Research

Airbnb; United States; Remote; USD 177,000 - 208,000; Full time

Job summary

A leading tech company is seeking a Senior Data Scientist to join their People Analytics and Research team. This role involves collaborating with partners to understand and analyze people data, utilizing statistical methodologies, and delivering actionable insights to enhance HR processes. The ideal candidate will have extensive experience in data science, statistical analysis, and a strong understanding of people analytics trends. Successful delivery will support the company's commitment to diversity, fairness, and developing a top-tier workforce.

Qualifications

• 5+ years in industry experience.
• Ability in R and Python for statistical analysis.
• Experience with SQL and data visualization.

Responsibilities

• Analyze people-related business problems and data.
• Utilize statistical models to predict workforce processes.
• Communicate insights effectively across teams.

Skills

Causal inference

Statistical analysis

Data visualization

SQL

R

Python

Survey design

Communication

People analytics

Education

Master's degree/PhD in quantitative field

Job description

Senior Data Scientist, People Analytics and Research

Join to apply for the Senior Data Scientist, People Analytics and Research role at Airbnb

Senior Data Scientist, People Analytics and Research

Join to apply for the Senior Data Scientist, People Analytics and Research role at Airbnb

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Airbnb 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, Analysts, and Researchers. Our work is highly sought-after, and impacts stakeholders in our Employee Experience function, and across the business. This role is responsible for ensuring Airbnb HR data are delivered in a timely, accurate, and high quality manner to key stakeholders across the business.

The Difference You Will Make

The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to some of our key projects, such as survey analysis (employee listening); how to hire, promote, and retain a best in-class workforce; and how to maintain fairness in key company processes. The role is highly cross-functional, and you will work with Talent Leaders, Legal, Diversity and Belonging, and other core people-oriented teams. We need a Data Scientist with a proven track record in translating data to insights and action.

People Analytics is a strong team of Data Scientists and Researchers. Our work is highly sought-after, and our impact on the business is tremendous. 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 analyze
• Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as hiring, promotion, productivity, attrition, employee engagement, and workplace diversity, among others
• Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the business
• Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders
• Leverage academic expertise and knowledge of people analytics trends to address practical business challenges
• Exercise traits of adaptability and good judgment to support organizational agility
• Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb
  
  

Your Expertise

• 5+ years in industry experience and a Master's degree/PhD in a quantitative field
• Knowledge of and experience with causal inference using observational data
• Experience in research design and advanced statistical analysis (experimentation and quasi-experimental methods)
• Ability to conduct statistical analysis using R or Python
• Ability to access databases via SQL
• Knowledge of and experience in survey design and analysis
• Experience interpreting survey data and using it to drive decisions
• Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
• Understanding of the external people analytics landscape and trends
• Experience working with large practical datasets
  

Your 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.

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

$177,000—$208,000 USD

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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