With Pecan, organizations can obtain and deploy AI models in days, without relying on data scientists. Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, Churn, NBO, Risk, and Segmentation. Pecan does not require from its customers any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.

• 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 data scientists team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business. In addition to data analysts and scientists you will work closely with the following levels in our client’s organizations:

1. C - level executives and VPs
2. Data analysts
3. DBA’s
4. DevOps engineers

Together with the team, you will be continuously helping our clients achieve their business goals, reinforce the value of Pecan’s modules, and the ease of use of our platform. 

You will handle complex data science challenges using state-of-the-art techniques such as: custom loss-functions, auto-encoders, embeddings, LSTM and many more.

Requirements 

- 5 years of experience as a data scientist working on tabular data
- Bsc in a relevant field
- Proficient in Python, SQL, and Spark
- Experience in creating measurable value with ml (defining KPI's, designing AB tests, monitoring)
- Experience with AWS / Databricks - advantage

*This position requires an authorization card in the US.