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Staff Data Scientist - New York City

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.



Responsibilities:
  • 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


Requirements:
  • 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


$140,000 - $180,000 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.


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.

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CEO of Aircall
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Michael Haske, Olivier Pailhes
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What You Should Know About Staff Data Scientist - New York City, Aircall

At Aircall, we're driven by the belief that voices matter—our people and our customers. As a Staff Data Scientist based in New York City, you'll play a crucial role in shaping our data-driven culture and direction. With our robust backing of over $220 million since our inception, we're creating innovative communication solutions for over 20,000 customers worldwide. Join a vibrant team where your work will not just support Aircall but fundamentally influence our operational strategies by harnessing the power of machine learning, AI, and generative techniques. In this role, you’ll lead significant projects like Marketing Mix Modeling and churn prediction, taking full ownership from inception to roll-out. Your insights will be instrumental in optimizing processes across marketing, fraud prevention, and improving call quality. We're looking for someone who is not just technically skilled but also has the vision to educate and inspire others around them, fostering a culture of experimentation and insight generation. If you're ready to take bold steps within a fast-paced environment while impacting major strategic initiatives, let's talk! Together, we can connect voices and elevate Aircall to new heights.

Frequently Asked Questions (FAQs) for Staff Data Scientist - New York City Role at Aircall
What are the main responsibilities of the Staff Data Scientist at Aircall?

The Staff Data Scientist at Aircall will lead innovative projects utilizing AI and machine learning to optimize various operational domains. Responsibilities include overseeing the entire lifecycle of models, creating A/B tests to measure business impact, collaborating with AI engineers, mentoring team members, and communicating insights across different technical levels within the company.

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What qualifications are needed to become a Staff Data Scientist at Aircall?

To qualify for the Staff Data Scientist position at Aircall, candidates should have over 6 years of experience in data science or related fields, preferably with an M.S. or PhD in a quantitative discipline. Strong skills in programming languages like Python and SQL, a solid understanding of statistics, machine learning, and previous experience in an applied environment are essential for this role.

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What is the expected salary range for a Staff Data Scientist at Aircall?

The salary for a Staff Data Scientist at Aircall ranges from $140,000 to $180,000 annually, not including equity and additional company benefits. The offered salary takes into account the candidate's skills, qualifications, and experience, ensuring competitive compensation for top talent.

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How does Aircall support work-life balance for their Staff Data Scientists?

At Aircall, we prioritize work-life balance and support our Staff Data Scientists with unlimited PTO, allowing you the flexibility to recharge and perform at your best. We understand the importance of a well-rounded life and provide support for mental and physical well-being through various benefits and a supportive work culture.

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What opportunities for growth does Aircall offer to Staff Data Scientists?

Aircall is committed to providing continuous learning and growth opportunities for Staff Data Scientists. You’ll have the chance to shape initiatives, mentor future leaders, and work on cutting-edge projects that drive business success, all while being part of a rapidly growing global company.

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Common Interview Questions for Staff Data Scientist - New York City
Can you describe your experience with machine learning and data science?

When answering this question, detail your background, focusing on specific projects you've worked on, the techniques you employed, and their impacts. Be prepared to discuss both theoretical knowledge and practical applications in real-world settings, showcasing your problem-solving abilities.

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How do you approach building a machine learning model from scratch?

Outline your step-by-step process, starting from understanding the problem, collecting and cleaning data, selecting the appropriate algorithms, and iterating through model training and validation stages. Highlight your attention to detail and how you measure success and performance.

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What method do you use to evaluate model performance?

Discuss common metrics you utilize like accuracy, precision, recall, and F1-score. It’s also beneficial to mention how you ensure your models generalize well to new data and how you interpret and present these findings to stakeholders.

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How do you handle underfitting and overfitting in machine learning?

Explain strategies such as regularization techniques, adjusting model complexity, and gathering additional data to combat these issues. Providing examples from past experiences will strengthen your response and illustrate your practical understanding.

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What is your experience with A/B testing?

Describe your approach to A/B testing, including how you formulate hypotheses, ensure randomization, perform the tests, and analyze the results. Emphasize the importance of statistical significance and how A/B testing has informed your prior projects' decisions.

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Can you explain a challenging data project you led?

Share a specific project where you faced obstacles—describe how you identified the problem, the action steps you took, and the eventual results. Highlight your leadership capabilities and ability to adapt in challenging situations.

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How do you keep abreast of new technologies and methods in data science?

Articulate your strategies for staying informed about trends, such as following reputable blogs, attending conferences, taking online courses, or participating in community discussions. Mention how you apply new knowledge to your work.

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Why do you want to work at Aircall as a Staff Data Scientist?

Personalize this response based on your career goals, the values of Aircall, and how the role aligns with your skills and aspirations. Discuss your interest in their innovative culture and how you envision contributing to their vision.

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How would you communicate complex data insights to non-technical stakeholders?

Provide a strategy for translating technical findings into understandable insights, emphasizing visual aids, clear language, and relevant comparisons that relate directly to business needs. Tailoring your message to the audience is key.

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What tools and technologies do you prefer for data analysis and modeling?

List the programming languages, tools (like Python, SQL, R, or specific libraries like TensorFlow), and technologies you're comfortable with. Discuss how your choice of tool enhances your effectiveness in analyzing data and building models.

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Through a combination of its powerful software and dedicated people, Aircall helps SMBs drive productivity and turn customer and employee satisfaction into key growth drivers.

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Full-time, on-site
DATE POSTED
December 17, 2024

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