Principal Data Scientist

Role Overview

The team is responsible for ensuring that the company has an accurate and practical understanding of our cloud platform usage health and ensuring we can understand our customers better and make data-driven decisions as an organization and improve product, business, adoption, and sales operations by applying data science.

What You Will Do

Work alongside a product development team and apply data mining, analytics and machine learning methods to understanding how customers use, adopt and achieve successful outcomes with our products.

Why It Might Be a Fit

The ideal candidate is a strong data scientist who thinks outside the box, is naturally curious, highly collaborative, and has a passion for tackling complex data-centric problems.

Requirements

• MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields
• Proficient in Python
• Experience working with relational SQL and/or NoSQL databases
• Experience working with big data platforms (Hadoop, Spark, Hive)
• Experience in statistical programming tools such as R, Matlab, SAS, Python data science toolkits, etc.
• Experience with data science toolkits like pandas, Jupyter, scikit-learn, TensorFlow, etc.
• Familiarity with Statistics concepts and analysis, e.g. hypothesis testing, regression, experimental design, etc.
• Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc.
• Experience implementing reporting programs like Domo, Looker, Tableau, PowerBI, etc.
• Experience in data visualization tools
• Experience in customer analytics
• Good communication skills and ability to explain complex topics to both technical and non-technical audience as well

Benefits

• Annual cash bonuses
• Commissions for sales roles
• Stock grants
• Comprehensive benefits package