Data Scientist, Aircall
Product Analytics
$140-180k
2 days a week in office
AI-powered communications platform
Be an early applicant
AI-powered communications platform
501-1000 employees
Be an early applicant
$140-180k
2 days a week in office
501-1000 employees
Company mission
To empower every professional to have rich conversations, so they can focus on closing deals and delighting customers.
Role
Who you are
- 3-5 years of hands-on technical experience in a high growth environment
- Proficiency in SQL for deriving insights
- Proficiency in Python
- Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
- Strong visualization skills to build stories and insights from raw data in a clear and concise manner (we use Hex and Looker)
- Experience in building rigorous experiments (hypothesis testing, power/significance testing)
- Familiarity with data pipeline/orchestration tools (e.g., dbt, Airflow)
- 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
- You have an insatiable curiosity and are biased toward action
- Excited to work from our new office in SOMA in San Francisco, 2 days per week
What the job involves
- As a Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including new feature launches, product adoption, pricing, and experimentation
- You will collaborate cross-functionally primarily with Product, Software Engineering, and Data Engineering, as well as Marketing, Sales, Finance, and Account Managers to translate data needs into powerful solutions
- You'll also establish best practices in self-serve analytics, contributing to our growing semantic layer, ensuring high standards in data governance and insight generation across the company
- Partner with product and business leaders to define the analytics roadmap and deliver key projects in product adoption, feature usage, cohort analysis, agent evaluations, and more
- Identify key opportunities based off of product usage to inform the product roadmap and customer health
- Contribute to and lead Aircall’s experimentation culture by ideating, creating, and evaluating experiments, both to improve product performance and adoption
- Provide actionable insights and compelling narratives to influence major decisions
- Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality
Our take
Call centres have been a mainstay of sales teams for decades, with the human touch delivering an impression conversion rate of about 30% for inbound calls. However analogue call centres are physical infrastructure-heavy and unable to take advantage of the flexibility afforded by remote and hybrid ways of work. Aircall exists to change that, providing a cloud-based call centre infrastructure that allows sales teams to work from their home offices.
Aircall isn't the only company in this space, and it faces heavy competition from Cloudtalk, another cloud-based call centre solution. However Aircall stands out in the market by its use of open APIs and webhooks, making integration with existing productivity and helpdesk tools much easier, and its superior call quality. Aircall has developed a significant customer base with these strengths, with over 20,000 companies using its platform.
The company has raised significant funding in recent years, highlighting the confidence investors have in their offering. With a rapidly expanding presence in the US, European, UK and Australian markets and the recent addition of AI voice agents to handle business calls 24/7, Aircall is clearly set on innovating at scale.
Steph
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$120m
SERIES D
May 2020
$65m
SERIES C
Total funding: $225.6m
Company HQ
NoMad, New York, NY
Leadership
Scott Chancellor
(CEO)Prior to joining Aircall as CEO in 2023, Scott was CEO of Humu and Chief Product/Technology Officer at Apptio. He also spent 7 years at Amazon Web Services as a Director and General Manager of AWS Insights.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 31 more jobs at Aircall