Data Scientist
AI & Automation
Posted on 2/13/2024
Five9

1,001-5,000 employees

Cloud based call and contact center software
Company Overview
Five9's mission is to empower organizations to transform their contact centers into customer engagement centers of excellence. The company provides software for managing omnichannel customer interactions including voice, SMS, chat, email, social, video, and more.
AI & Machine Learning
Data & Analytics

Company Stage

Series D

Total Funding

$126.6M

Founded

2001

Headquarters

San Ramon, California

Growth & Insights
Headcount

6 month growth

6%

1 year growth

11%

2 year growth

27%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Tensorflow
R
Data Structures & Algorithms
Keras
Apache Spark
Apache Kafka
Elasticsearch
Natural Language Processing (NLP)
Splunk
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Knowledge of NLP concepts and hands-on experience in building Text classification ML/statistical model
  • Experience with extracting relevant data from user transcripts including cleaning, lemmatizing and building text corpus for building classification models
  • Experience with designing and implementing algorithms (clustering, decision tree learning, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc)
  • Knowledge of advanced statistical techniques and concepts (sampling, A/B testing, regression, properties of distributions, statistical tests and proper usage, etc)
  • Graduate degree in Statistics, Mathematics, Computer Science, Operations Research, Engineering or similar quantitative field
  • 8+ years’ experience in Python, R, and applied statistics
  • 6+ years’ experience with bot frameworks such as IBM Watson, Amazon Lex, and Google Dialogflow
  • Experience with Big Data tools such as Elasticsearch, Logstash and Kibana, Apache Kafka, NiFi, Apache Spark, Neo4J, Predictive Insights, and Splunk
  • Experience with Deep Learning Frameworks
  • Python experience with ML libraries, such as SciKit Learn, TensorFlow, and Keras on both CPU and GPU compute architectures
  • Experience with interpretability of deep learning models
Responsibilities
  • Provide expert guidance on NLP concepts
  • Assist in technical design reviews
  • Build text corpuses for classification models
  • Leverage all available data for the purposes of training/re-training intents
  • Develop and execute virtual agent performance measurement strategy
  • Continuously research and prototype the latest data science concepts related to NLP and NLU
  • Work with the AI & Automation Solution Consultants, Enterprise Architects, IVA Developers, and Conversational Designers to ensure highest levels of accuracy and performance in AI based solutions such as virtual agents, agent guided solutions, and others
Desired Qualifications
  • Hands-on experience in working on platforms/environments such as Rasa
  • Hands-on experience with GTP3 or GTP-J