The Role

Knowledge assets drive important features of the Outreach product. As an applied scientist, you will work with other data scientists, engineers, and product managers to develop algorithms to extract entities and other structured data from unstructured streams, develop algorithms to assess quality of data sources, and drive indexing strategies to retrieve relevant data in response to queries. You will also design and develop tools for visualizing the data and measuring the data quality.

About the Team

On the Knowledge Assets Team we:

- Own features end-to-end, from the customer need all the way to the back-end implementation

- Are highly collaborative and distribute technical leadership throughout the team

- Do Agile development, with Sprints and regular retrospectives

- Function in a highly progressive, quick-iteration environment focused on delivering consistent, incremental customer value 

We’re currently shoring up the core functionalities of our product. In the long term we want to give our customers the ability to optimize and constantly improve how they interact with customers. Our services will learn from the customer’s interactions and assist the customers by bringing that knowledge to them in real-time. These efforts present a diverse gamut of work that will help enhance Outreach’s competitive edge by making our customers more effective.

Your Daily Adventures Will Include

• Working with different data sources and data types and streams of spoken text to extract structure data.
• Analyzing the input data and performance of data extraction algorithms.
• Evaluating the quality of Knowledge Assets and developing techniques to continuously improve their quality.
• Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control.
• Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
• Finding quick ways to prototype and test possible solutions to large problems
• Looking up and down the stack for the best return on investment for any given pain point
• Working on one of the most visible parts of Outreach’s product - to both our customers and the rest of our organization

Basic Qualifications

• Experience with implementing machine learning algorithms including natural language processing.
• A strong background in statistics, passion for data, and experience working with Spark or similar distributed computing frameworks is essential for success in this role.
• Experience programming in Python or Scala and Java or Go or C++.
• Experience with cloud-based service applications
• Familiar with continuous-deployment projects
• Willing to go above and beyond to help other team members
• Ability to prioritize details along a path of iterative delivery
• Ability to quickly ramp up new technologies and start contributing

Why You’ll Love It Here

• Generous medical, dental, and vision coverage for full-time employees and their dependents

• Flexible time off

• 401k to help you save for the future

• Company-organized and personal paid volunteer days to support the community that supports us

• Fun company and team outings (or virtual events these days!) because we play just as hard as we work

• Diversity and inclusion programs that promote employee resource groups like OWN (Outreach Womxn's Network)

• A parental leave program that includes not just extended time off but options for a paid night nurse, food delivery, gradual return to work, and the Gottman Institute's Bringing Home Baby course for new parents

• Employee referral bonuses to encourage the addition of great new people to the team

• Plus, unlimited snacks and beverages in our kitchen (once we're back in the office, that is!)

• We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status