Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
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 towards new ways of leveraging our data to save our customers time and improve their sales efficiency. 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.
Our Vision of You
Recent Publications from the Outreach Data Science:
[1]Using Contact, Content, and Context in Knowledge-Infused Learning: A Case Study of Non-Sequential Sales Processes in Sales Engagement GraphsAuthors: Hong Yung Yip, Yong Liu and Amit Sheth
[2]An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large ScaleY Liu, P Dmitriev, Y Huang, A Brooks, L DongIEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)2019
[3]Transfer Learning Meets Sales Engagement Email Classification: Evaluation, Analysis, and StrategiesY Liu, P Dmitriev, Y Huang, A Brooks, L Dong, M Liang, Z BoshernitzanConcurrency and Computation: Practice and Experience2020
[4]Discovery of Bias and Strategic Behavior in Crowdsourced Performance AssessmentY Huang, M Shum, X Wu, JZ XiaoACM SIGKDD International Workshop on Talent and Management Computing 2019
Why You’ll Love It Here
We help revenue teams save time, money, and energy through automation, activity tracking, and artificial intelligence. Outreach, the leading B2B sales engagement platform, accelerates revenue growth by optimizing every interaction throughout the customer lifecycle. The platform manages all prospect and customer interactions across email, voice and social, and leverages machine learning to guide reps to take the right actions.
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year