Staff Data Scientist - NYC at Aircall
New York, NY 10001
About the Job
New YorkG&A – 13008 - Data /Full Time /HybridAircall 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 teamThe 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 roleAircall 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 HQYour mission at Aircall:Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business successTake ownership of the entire lifecycle from model design, training, productionization and incremental enhancementFoster a culture of experimentation by designing and scale rigorous A/B tests when needed to measure business impactEducate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and developmentCollaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offeringEstablish best practices in data science and mentor future team members to maintain high standards in data governance and insight generationCommunicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutionsCultivate trust with stakeholders by consistently addressing their true fundamental needs and challengesA little more about you:6+ years of data science, machine learning / statistical modeling experienceExperience implementing theoretical models in an applied environmentM.S
or PhD
in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldStrong interest in delivering data-driven solutions using ML and AIProficiency in data querying languages (e.g
SQL), scripting languages (e.g
Python) or statistical/mathematical softwareSolid understanding of statistics, machine learning, operations research, and causal inference
Knowledge of NLP or Bayesian testing is a plusInsatiable curiosity and bias toward action$140,000 - $180,000 a yearThis 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.People flourish at Aircall and now is the time to be part of the team and the journey we’re on.Why join us?ð Key moment to join Aircall in terms of growth and opportunitiesð️ Our people matter, work-life balance is important at Aircallð Fast-learning environment, entrepreneurial and strong team spiritð 45+ Nationalities: cosmopolite & multi-cultural mindsetðµ Competitive salary package & equityð Medical, dental, and vision insurance is 100% coveredð 401k plan with company matching!️ Unlimited PTO — take the time you need to come to work feeling great!️ Wellness, commuter, and childcare reimbursementsð Generous parental leave policyDE&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.
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 teamThe 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 roleAircall 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 HQYour mission at Aircall:Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business successTake ownership of the entire lifecycle from model design, training, productionization and incremental enhancementFoster a culture of experimentation by designing and scale rigorous A/B tests when needed to measure business impactEducate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and developmentCollaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offeringEstablish best practices in data science and mentor future team members to maintain high standards in data governance and insight generationCommunicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutionsCultivate trust with stakeholders by consistently addressing their true fundamental needs and challengesA little more about you:6+ years of data science, machine learning / statistical modeling experienceExperience implementing theoretical models in an applied environmentM.S
or PhD
in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldStrong interest in delivering data-driven solutions using ML and AIProficiency in data querying languages (e.g
SQL), scripting languages (e.g
Python) or statistical/mathematical softwareSolid understanding of statistics, machine learning, operations research, and causal inference
Knowledge of NLP or Bayesian testing is a plusInsatiable curiosity and bias toward action$140,000 - $180,000 a yearThis 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.People flourish at Aircall and now is the time to be part of the team and the journey we’re on.Why join us?ð Key moment to join Aircall in terms of growth and opportunitiesð️ Our people matter, work-life balance is important at Aircallð Fast-learning environment, entrepreneurial and strong team spiritð 45+ Nationalities: cosmopolite & multi-cultural mindsetðµ Competitive salary package & equityð Medical, dental, and vision insurance is 100% coveredð 401k plan with company matching!️ Unlimited PTO — take the time you need to come to work feeling great!️ Wellness, commuter, and childcare reimbursementsð Generous parental leave policyDE&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.
