Staff Applied Scientist - New York City

Aircall; New York (NY); On-site; USD 140,000 - 240,000; Full time

Job summary

Join a forward-thinking company as a Staff Data Scientist, where your expertise in machine learning and data science will shape the future of communication technology. This role offers the chance to lead groundbreaking projects that leverage advanced AI techniques to optimize operations across marketing, fraud prevention, and call quality. You will play a pivotal role in driving impactful initiatives from ideation to production, fostering a culture of experimentation, and mentoring future team members. With a commitment to diversity and inclusion, this innovative firm values every voice and offers a competitive salary package, comprehensive benefits, and a supportive work environment that prioritizes work-life balance.

Benefits

Medical, dental, and vision insurance

401k plan with company matching

Unlimited PTO

Wellness reimbursements

Commuter reimbursements

Childcare reimbursements

Generous parental leave policy

Qualifications

• 6+ years of experience in data science and machine learning.
• Proficiency in SQL and Python for data querying and analysis.
• Strong understanding of statistics and causal inference.

Responsibilities

• Lead projects using AI and machine learning to optimize operations.
• Educate teams on ML best practices and emerging technologies.
• Collaborate with engineers to evolve the AI platform.

Skills

Machine Learning

Statistical Modeling

Data Analysis

Natural Language Processing (NLP)

Causal Inference

Problem Solving

Education

M.S. or PhD in Statistics

M.S. or PhD in Computer Science

M.S. or PhD in Math

Tools

SQL

Python

Statistical Software

Job 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 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, Seattle, Mexico City 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 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.

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.

Compensation:

$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.

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.

Diversity, Equity, and Inclusion 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.