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 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
A little more about you:
- 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
0 applies
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