Data Scientist - Natural Language Processing

| Seattle
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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, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to save our customers time and improve their sales efficiency. As a member of the Data Science team, you will be on the ground floor, working directly with the VP of Data Science to define and implement our strategy for delivering data products. You will be responsible for delivering models and data-driven functionality that will be deployed into our production environment. Specific responsibilities will include analyzing huge volumes of communication such as e-mails and phone call transcripts, extracting insights and actions, and using these insights to improve effectiveness and efficiency of outreach users.

Your Daily Adventures Will Include

Analyzing huge volumes of communication such as e-mails and phone call transcripts Developing machine learning models and extracting insights and actions Implementing 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 take action based on your insights Rigorously measuring the impact of your work via data analysis and experimentation Our Vision of You You embody our core values. We are hungry craftspeople, we have grit, we are honest, we take ownership, we have each other’s back no matter what, we’re one with our customers, and we find strength in diversity and inclusion. 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 frameworks (TensorFlow, PyTorch, MxNet, etc. You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's Mlib is a plus You have strong programming skills in at least one object oriented programming language.

The Role

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, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to save our customers time and improve their sales efficiency.

As a member of the Data Science team, you will be on the ground floor, working directly with the VP of Data Science to define and implement our strategy for delivering data products. You will be responsible for delivering models and data-driven functionality that will be deployed into our production environment. Specific responsibilities will include analyzing huge volumes of communication such as e-mails and phone call transcripts, extracting insights and actions, and using these insights to improve effectiveness and efficiency of outreach users.

Your Daily Adventures Will Include

  • Analyzing huge volumes of communication such as e-mails and phone call transcripts
  • Developing machine learning models and extracting insights and actions
  • Implementing 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 take action based on your insights
  • Rigorously measuring the impact of your work via data analysis and experimentation\

Our Vision of You

You embody our core values. We are hungry craftspeople, we have grit, we are honest, we take ownership, we have each other’s back no matter what, we’re one with our customers, and we find strength in diversity and inclusion.

  • 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 frameworks (TensorFlow, PyTorch, MxNet, etc.
  • You have experience working with distributed data processingframeworks such as Spark. Experience with Spark's Mlib is a plus
  • You have strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, 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 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 a MS in Computer Science, Statistics, or a related field, or equivalent industry experience. PhD degree and a track record of publications at conferences such as KDD, WWW, NIPS, NAACL, ACL, SIGIR, EMNLP, ICML are preferred.

Why You’ll Love It Here

  • 100% medical, dental, and vision coverage for full-time employees
  • Unlimited PTO (and people actually use it!)
  • 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
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Send resume to [email protected]
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