About The Team

Data is at the core of Outreach's strategy. We use 1st party, customer, and 3rd party data to build knowledge assets and create intelligent experiences that guide sales reps towards more effective, personalized interactions with customers. We also use data to help sales managers and leaders optimize their sales process and coach reps more effectively. As our customer base continues to grow, we are looking towards new ways of leveraging data to help our customers, while ensuring security, scalability and reliability of our data-driven capabilities. 

Enabling this vision requires 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. You will serve as tech lead owning the outcomes of projects and initiatives, working with junior team members, collaborating with other engineering teams, and providing technical guidance.

Your Daily Adventures Will Include

• Analyzing huge volumes of communication such as e-mails, phone call transcripts, meeting transcripts
• Developing machine learning models and extracting insights and actionsImplementing and testing prototypes on our large scale distributed data infrastructure
• Closely working with engineers to put 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
• Working with junior team members and helping them learn and grow

Basic Qualifications

• You have a solid background in statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs, etc), and experience applying these techniques to solve real problems in 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 understand the entire lifecycle of machine learning product development, from inception to production
• You are hands on, able to quickly pick up new tools and languages, and excited about building things and experimenting
• You are experienced at mentoring junior team members and go above and beyond to help your team
• You are honest, admit mistakes, and own fixing them
• You are a motivated and talented craftsperson: always looking to sharpen and adapt your skills
• You have an MS in Computer Science, Statistics, or a related quantitative field, or equivalent industry experience
• PhD degree and a track record of publications at conferences such as NAACL, ACL, CoNLL, ICML, ICLR, IJCAI, SIGIR, EMNLP, KDD, WWW, NeurIPS, AAAI, CoLING are preferred

Why You’ll Love It Here

• 100% medical, dental, and vision coverage for full-time employees

• 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 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