Head of Data Science and Innovation
il y a 1 jour
Aircall is a pioneering company that values human connections and accessible communication. With over $220 million in investment since 2015, we've created technology that empowers our 18,000+ customers to make authentic connections. Our culture is built on the cornerstone of conversation, where every voice is valued.
The Data TeamThe data team is the backbone of Aircall's decision-making approach. We deliver cutting-edge data products, tools, and actionable insights that drive revenue, profitability, product development, and customer experience. As the Head of Data Science, you'll lead our data team and drive impactful initiatives across data science, analytics, and data engineering.
Key Responsibilities- Define and execute Aircall's data strategy, aligning it with organizational goals.
- Lead groundbreaking projects that leverage AI, machine learning, analytics, and data engineering 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 to measure business impact.
- Educate teams on current and emerging research, technologies, and best practices for leveraging ML, AI, and advanced analytics in product design and development.
- Collaborate with data engineering and AI Platform teams to identify upcoming requirements and continuously evolve our data platform offering.
- Establish best practices in data science, analytics, and data engineering, 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.
- 10+ years of data science, machine learning, or statistical modeling experience, with at least 3 years in a leadership role.
- Experience implementing theoretical models in an applied environment.
- 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 (SQL), scripting languages (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.
- Proven track record of building and leading high-performing data science teams.
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. Our people matter, work-life balance is important at Aircall, and we offer a fast-learning environment, entrepreneurial spirit, and strong team dynamics. We're committed to diversity, equity, and inclusion, and we're working to create a place filled with diverse people who can enrich and learn from one another.
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