Vice President, Data Science

Vice President, Data Science

at Uptake (View all jobs)

Remote

What We Do:

Uptake is the premier Industrial AI company, providing a predictive analytics SaaS platform that empowers major industry leaders to optimize performance, reduce asset failures, and enhance safety. At Uptake, we combine our strengths — machine learning, analytics, data visualization, and software development — to deliver actionable insights that make the industry more reliable, productive, safe, and secure.

What You’ll Do:

Data science is at the core of what we do at Uptake. We collaborate with engineering, product, and other teams to contribute insights and data science best practices to all parts of the business.  You will have the opportunity to lead a team of Machine Learning Engineers 

• Deliver machine learning algorithms to solve business specific problems mapped to use cases across multiple industries 
• Lead and mentor a team of Data Scientists and collaborate with Functional Architects, Technical Architects, and Solution Managers to understand business needs and devise possible solutions
• Research and develop statistical learning models while keep up to date with latest technology trends
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and ML model designs
• Communicate results and ideas to key decision makers

Responsibilities:

• Build a diverse data science team and maintain an inclusive environment
• Mentor team members
• Define overall strategy in partnership with senior executives and peers across the organization
• Make data, data science and AI technology and platform decisions
• Communicate effectively with executives and line-of-business end-users to discover pain points and use cases, lead project definitions, and convey the business value of the project
• Maintain a portfolio of decisions tied to value statements and monitor as metric system to show success of team
• Create a self-funded team by generating cost savings and new revenue opportunities.
• Be the external face for data science and AI by presenting externally at relevant conferences and media events
• Provide opportunity for team to maintain their current skills and develop new ones both in and out of their domains
• As the senior most expert in the company, you will maintain your hands-on skills and expertise as well as the relevancy of your skills by staying up to date on current tools, methodologies and processes.
• Provide guidance on algorithm selection, library selection for the Data Science team
• Design a modern MLOps workflow process for model maintenance
• Own Uptake’s internal Data Science model library

Qualifications:

Preferred:

• 10+ years of professional experience driving process re-engineering, improvement and automation initiatives with demonstrable business results and proven experience in leading teams and organizations 
• Extensive knowledge with cloud technology, e.g SaaS, PaaS and IaaS Exposure to Python, .Net, SQL, Java or JavaScript, and application API development Experience with Cognitive, Machine Learning, Natural Language Processing (NLP) 
• Bachelors, Masters or PhD in Data Science or related quantitative field 

Why Work Here

Uptake is a values-driven organization, and we are excited about what we do. We’re flexible, honest, hardworking, and collaborative. As a team, we bring our diverse backgrounds, beliefs, and experiences together to solve tough, important problems. We support and challenge one another to bring out the best in each of us, and we might have a little fun along the way.

Applicants must be authorized to work in the U.S. 

Uptake welcomes and encourages applications from all individuals, without regard to any prohibited ground of discrimination, including from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.