What are the responsibilities and job description for the Staff Data Scientist - San Francisco position at Aircall?
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 20,000 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 Staff 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.
Your mission 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 scaling 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 :
140,000 - $240,000 a year
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
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.
Why join us?
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.
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Salary : $140,000 - $240,000
