Pecan AI was founded in 2018 by co-founders Zohar Bronfman and Noam Brezis to bring the power of AI to every business team at every company. Pecan democratizes data science and AI by allowing business users across marketing, sales, product teams, supply chain and the BI analysts that support them to build AI models. Pecan users leverage advanced data science techniques to predict future outcomes unlocking transformational improvements in their KPIs – such as growth of revenues and customer lifetime value, decrease in churn, and optimized inventory management. In one intuitive low-code platform, business analysts and their business partners can add data, deploy off-the-shelf predictive models, and predict what’s likely to happen in the future with a high degree of confidence – finally bringing AutoML within reach for all.

Company Highlights: 

  • Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital. 
  • 90+ employees and growing very quickly
  • HQ in Tel Aviv with growing sales and marketing organization in the US 
  • Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.

Who You Are & What You'll Do

As a machine learning team lead, you and your team will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions in support of their business. You will lead a combined team of data scientists and engineers, working to introduce model improvements as well as scale data pipelines. 

Requirements 

  • 3  years of experience leading engineering\ machine learning\ data science teams.
  • 5 years of experience as a data scientist \ Machine Learning Engineer.
  • 5+ years of experience in Python.
  • Experience in creating measurable value with ml (defining KPI's, designing AB tests, monitoring)
  • Proficient in Python, SQL, and Spark
  • Experience with AWS / Spark - an advantage
  • Bsc in a relevant field. Msc or Phd - an  advantage

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