Intelletec has teamed up with a tech firm on a mission to solve the biggest, most intractable challenges of enterprise software. They envision the rise of the Self-Driving Enterprise: a more autonomously functioning business with a central operating system that connects and orchestrates business operations.

Due to rapid growth, they are looking to hire a Director of Data Science to grow their operation across the US and build out a world class data science team

The Company

Backed by some of the world’s best investors with $94 million for growth and research
At the forefront of cognitive automation, transforming the way we work using Artificial Intelligence
Deliver the technology that enables the Self-Driving Enterprise: a cognitive operating system that connects you with your business and autonomously orchestrates your operations
Serves the Global 1000 from 8 offices, and is headquartered in Mountain View, California

The role

Base out of global headquareters in Mountain View, California or San Francisco offices
Reports into the Co-founder / CTO of the organization
Leading a Data Science function with high visibility and strategic impact
Take on and lead large cutting edge data science projects, from inception to completion being somewhat hands-on
Collaborate with other team members to build data-science products and services
You will be working on new and challenging data science applications, using Machine Learning to solve complex business problems

What you need to succeed:

Excellent leadership and communication skills, comfortable articulating technical terminoly in layman terms to key stakeholders, clients and influencers
Leading a Data Science function and having experience of managing teams of 5-15 globally
10-15 years of professional experience as a Machine Learning Engineer/Data Scientist; preferably in a product development setting
Master’s or PhD Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred
Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach
Hands-on experience with machine learning toolkits such as scikit-learn and TensorFlow
Hands-on experience with software development, including translating ML models into scalable production services
Experience working with cloud platforms such as AWS, and Google Cloud Platform and distributed computing technologies such as Apache Spark

If you share a passion for building the next generation of enterprise software and implementing it for the most sophisticated customers in the world, you’ve met your match.

Market leading package available.