Social media software to centrally manage brands social media presences.
Hearsay Systems offers the complete client engagement platform for financial services, empowering advisors and agents to effectively use digital to build stronger relationships that grow business. We enable efficient and compliant client engagement across digital channels including social networks, text messaging, websites and email. Our technology is used by more than 150,000 advisors and agents at the world's largest financial services and insurance companies including New York Life, Raymond James and Vanguard.
We are looking for a creative, get-it-done Data Science Leader to join our passionate team and help us make our advisor platform more predictive!
Collaborate in small teams to ideate and ship machine learning applications
Design, engineer and own science powered features end to end
An unparalleled love of building data sets and classifiers
Mentor and manage other data scientists in algorithms, models and tools
Stay on top of scientific research and recommend new techniques
Understand our customers to creatively solve their problems with analytic solutions
Your Typical Day Might Include:
Deep diving in the data, scrubbing and understanding our customer’s behavior
Building, evaluating and iterating machine learning classifiers
Whiteboarding a new design for a part of the product and arguing over to how best implement it
Prototyping proof of concept applications, getting feedback and iterating
Decide when an experiment is ready for prime time and collaborate with engineers to architect and build new features end-to-end
Build feedback loops into our systems for real time monitoring and periodic model improvement.
BS in Computer Science / Statistics or equivalent experience
5 years Industry experience applying advanced statistical learning and modeling techniques to varied types of data, including text and images
3+ years of experience managing Data Scientists
Deep understanding of modern machine learning methods, supervised and unsupervised
Proven ability to prototype and engineer product quality features using a high level programming language like Python
Ability to explain high-level data science concepts (e.g. precision/recall, cross-validation) to non-technical employees
Must have good product sense, previous experience making product decisions would be a plus