Description
Aircall is a place where voices are valued.
Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 18,000+ customers (and growing) to make authentic, human connections.
Conversation is a cornerstone of our culture. Wherever our people find themselves in the Aircall world – Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home – everyone has a voice that is valued.
Whatever your background, wherever you’re from – we want you to join the conversation. Let’s talk.
About the team
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.
About the role
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.
Locations: Paris, Bay Area (USA), or NYC HQ
Your mission @ 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
A little more about you:
- 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
Key traits we look for:
You are coachable, you are resilient, you are solution oriented coming to the table with great ideas, and you find the fun in a good challenge!
We will invest in you, as you invest in us. We believe that owning your growth and owning your success starts with you, but it's up to us to help provide the platform for learning, growing and building your career!
Aircall is constantly moving forward. We’re building new roads to complete our journey, and we’re taking people with us who have the same builder mentality.
Let’s grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights.
We’re creating a place where great people trust one another and thrive together.
People flourish at Aircall and now is the time to be part of the team and the journey we’re on.
Why join us?
🚀 Key moment to join Aircall in terms of growth and opportunities
💆♀️ Our people matter, work-life balance is important at Aircall
📚 Fast-learning environment, entrepreneurial and strong team spirit
🌍 45+ Nationalities: cosmopolite & multi-cultural mindset
💵 Competitive salary package & equity
🏨 Medical, dental, and vision insurance is 100% covered
📈 401k plan with company matching!
✈️ Unlimited PTO — take the time you need to come to work feeling great!
⭐️ Wellness, commuter, and childcare reimbursements
💚 Generous parental leave policy
DE&I Statement:
At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. 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 will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
Aircall
Analytics
Call Center
Cloud Data Services
CRM
Enterprise Applications
SaaS
Software
Telecommunications
VoIP
0 applies
2 views
Other Jobs from Aircall
Data Engineer - NYC
New York, NY
Remote Hybrid
Typescript Fullstack Engineer - Messaging Team
Remote
EMEA
Website Project Manager
San Francisco, CA
Remote Hybrid
Website Project Manager
New York, NY
Remote Hybrid
Similar Jobs
Data Scientist
Remote
Staff Software Engineer- ML Hardware Modeling (Toronto)
Toronto, Ontario
Canada
Sr Developer
Bengaluru, India
AI Developer
Bengaluru, India
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 389 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say