Customer-Facing Data Scientist - Demand Forecasting

Pecan is an automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. Pecan connects to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel’s 50 most promising startups two years in a row 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. 50 employees 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, and SciPlay. Responsibilities: As a data scientist 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. Together with the team, you will be continuously helping our clients achieve their business goals, and 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. What we are looking for:

• 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 time series

• Experience with AWS / Databricks – advantage