About the Team:

Data is at the core of Outreach's strategy. It drives our customers and ourselves to the highest levels of success. We use it for everything from customer health scores and revenue dashboards, to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through automated natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking at new ways of leveraging our data to save our customers time and improve their sales efficiency. The key goal of the Data Science team is to transform how sales reps operate by enabling personalized guided selling. This requires a deep understanding of customer communication - emails threads and call/meetings transcripts, to extract useful information, determine the situation the deal is in and recommend next steps. As a member of the team, you will be on the ground floor, working directly with the VP of Data Science to define and implement our strategy for delivering on this vision. You will be responsible for delivering models, data-driven functionality, and end-user features based on these models that will be deployed into production, as well as analyzing the data to produce actionable insights and inform next steps.

Your Daily Adventures Will Include Analyzing huge volumes of communication such as e-mails, phone call transcripts, meeting transcripts. The data velocity is in Terabytes. 

Developing highly efficient machine learning models and extracting insights and actions. Implementing and testing prototypes on our large scale distributed data infrastructure. Closely working with Machine Learning Engineers to deploy your models and insights into production. Working with internal teams to validate your results and enable them to take action based on your insights. Rigorously measuring the impact of your work via data analysis and experimentation.

Basic Requirements

• Academic or industry background in Artificial Intelligence in Data Science
• You have used at least one of the following statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs, etc), and used at least one of the modern distributed ML and deep learning frameworks (TensorFlow, PyTorch, MxNet, etc.)
• You have experience working with distributed data processing frameworks such as Spark
• You have strong programming skills in Python and are familiar with at least one other object oriented programming language (C++, Java, Scala, etc.)
• You are able to quickly pick up new tools and languages, and excited about building things and experimenting.
• You go above and beyond to help your team.
• You are honest, admit mistakes, and own fixing them.

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 Women'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