Principal data scientist - NYC-

June 19

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Aircall

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The phone system for modern business

Call center software • VoIP • Cloud • Business phone system • Customer Support

501 - 1000

💰 Venture Round on 2022-02

Description

• 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

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service