Principal Data Scientist, Aircall
$150-250k
+ Equity
Cloud-based call centre and phone system
Open for applications
Cloud-based call centre and phone system
501-1000 employees
Open for applications
$150-250k
+ Equity
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
- 6+ years of data science, machine learning / statistical modeling experience
- Experience implementing theoretical models in an applied environment
- M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
- Strong interest in delivering data-driven solutions using ML and AI
- Proficiency in data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software
- Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus
- Insatiable curiosity and bias toward action
What the job involves
- The data team is the backbone of Aircall’s decision-making process. We deliver cutting-edge data products, tools, and actionable insights that drive revenue, profitability, product development and delightful customer experience
- Aircall is seeking a visionary Principal Data Scientist to establish and drive initiatives whose ambition is to impact our processes leveraging applied data science
- This is a unique opportunity to play a pivotal role in shaping our scientific foundation.
- You will leverage data and advanced ML/AI/Generative AI techniques to optimize operations across various domains, including marketing, fraud prevention, and call quality.
- Leading impactful initiatives such as Marketing Mix Modeling and churn prediction, you will oversee the entire lifecycle from ideation to production and continuous improvement.
- Expect to have both the freedom and responsibility to define goals, build and grow a team, and make a significant impact at Aircall
- Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success
- Take ownership of the entire lifecycle from model design, training, productionization and incremental enhancement
- Foster a culture of experimentation by designing and scale rigorous A/B tests when needed to measure business impact
- Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development
- Collaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering
- Establish best practices in data science and mentor future team members to maintain high standards in data governance and insight generation
- Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions
- Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges
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 15,000 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 recent refresher leadership hires, Aircall could soon be a widely recognised international player in the telephone software industry.
Steph
Company Specialist
Insights
Few candidates hear
back within 2 weeks
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 benefits
- Food Allowance
- Snacks & Drinks
- Medical Insurance
- Flexible remote policy
- Retirement Savings Plan
- Outings & Events
- Fitness Fund
- Commuter Benefits
- Referral Bonus
Company values
- Dare to be bold - We’re risk takers. Trying, succeeding, failing — and trying again — are essential to who we are as a team and company. Large actions lead to big success
- Thrive together - We learn from each other and grow from it. Our common journey is how we grow together and innovate.
- Trust & Commit - We trust each other and commit to our mutual success. We earn trust from our commitment.
- Excellence - We’re aiming high, and we know it. Even the smallest details are important to us. We only want the best for each other and our customers.
Articles
Leadership
Jonathan Anguelov
(CSO)Ex Investment Banker & Entrepreneur. Studied Finance at ESCP Business School and co-founded Aircall in 2014.
Pierre-Baptiste Béchu
(VP of Communications Platform)Holds a Master of Engineering from Ecole Centrale de Lyon and a Master's degree in industrial and organizational psychology from Université Lumière Lyon 2. Previously co-founded ClickJob.fr, where they served as CTO.
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 65 more jobs at Aircall