Staff Data Scientist

at  Crunchbase

ABOUT CRUNCHBASE

Crunchbase helps over 75 million people around the world connect with the companies and people that matter. Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportunities so salespeople, entrepreneurs, investors, job seekers, and others can accelerate innovation for a better future. We’re proud to build intelligent products that shape how companies and people connect and enable them to communicate in a more meaningful way.
We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.
Crunchbase has a remote-first approach, and is open to hiring in residents of these states:
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington
Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!

• Work on all aspects of the data science feature delivery cycle, from ideating, advocating future data needs, to assisting in model productionisation.
• Develop statistical observations and predictive or prescriptive machine learning models according to our business needs, data patterns and performance requirements.
• Bring in a fresh perspective to the problem space and test out ideas quickly.
• Own the PoC execution plan for multiple projects in parallel and carry out rapid experiments autonomously with the team.
• Manage stakeholders for their focus area efficiently - gather changing product requirements, define problem spaces, bring clarity to roadmaps and milestones, and communicate progress and results to a non-technical audience.
• Help drive the vision of Crunchbase predictive engine and turn our vision into product features.
• Contribute to define and enhance our machine learning experimentation capabilities.
• Help establish processes and best practices to help grow our data science guild.