Aircall.io, Inc.
Data Scientist, Visualization
New York Office · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- This is a specialist role on our Data Science team.
- You'll sit alongside data scientists working on forecasting, attribution, and modeling, and you'll be the person who makes analytical work land with the business.
- Contribute to our data governance and certification practices, so the business knows which numbers to trust and metric definitions stay consistent across teams.
Responsibilities
- Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work.
- We're working to create a place filled with diverse people who can enrich and learn from one another.
- We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
- Strong visualization skills to build stories and insights from raw data in a clear and concise manner (we use Hex and Looker)
Requirements
- Proficiency in SQL, including the ability to read and optimize queries you didn't write
- Familiarity with data pipeline/orchestration tools (e.g., dbt, Airflow)
- Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
- You have an insatiable curiosity and are biased toward action
- Proficiency in Python
Nice to have
- Experience collaborating with data engineering to build and maintain healthy pipelines, with experience with lakehouse table formats (e.g., Apache Iceberg) and distributed data processing (e.g., PySpark) as a plus
Compensation
- $140,000 - $180,000 USD
- 💶 Competitive salary package & benefits
Benefits
- We value ownership, continuous learning, and thoughtful speed.
- 📚 Fast-learning environment, entrepreneurial and strong team spirit
- At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey.
Company info
- We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
- Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams.
This listing is sourced directly from Aircall.io, Inc.'s careers page and normalized into a canonical job model.