Data/NLP Scientist at AnswerIQ
🇺🇸 United States › Washington › Bellevue (Posted Aug 7 2018)
About the company
AnswerIQ is an artificial intelligence service in the customer support space. It uses sophisticated algorithms to read and understand all the interactions from past tickets between the customer support agent and the customer. Once implemented, AnswerIQ enables a business to intelligently classify and automatically respond to simple known issues and more importantly assist the agents with recommended responses to complex questions. It works within the existing customer experience systems like Zendesk, Salesforce, etc. to eliminate the need to learn any new system.
AnswerIQ is looking for Data Scientists to join our data science team. Our data science team dedicate to apply Natural Language Processing and Machine Learning in the enterprise customer support space, as well as provide data analytic service to our customers. We develop sophisticated algorithms and applications to automate the customer service including responding the ticket, classifying ticket issues, engaging conversations with customers. You will build, evaluate and improve customized ML models for our customers; work with customers to analyze customer dataset and translate data-driven insights into decisions and actions; run ML experiments and develop algorithms to improve AnswerIQ ML/NLP engine.
Skills & requirements
(Required) Master or higher degree in computer science, statistics or mathematics with focus on machine learning and natural language processing; data science experience in industry is preferred
Strong knowledge in machine learning and statistics (classification, regression, recommendation, clustering, boosting, graphical models, etc.)
Familiar with machine learning and analytics libraries (Scikit-learn, MLlib, etc.)
Experience with deep learning frameworks (Tensorflow, CNTK, Mxnet, Keras, etc.)
Experience with data manipulation and analysis tools (Pandas, Pig, Hive, Spark, etc.)
Experience in applying and implementing NLP algorithms, especially in the following areas: information extraction, topic modelling, semantics analysis, question answering
Strong programming skills in Python, SQL, R and at least one object oriented programming language (Java, Scala, C++, etc.)
Knowledge of visualization tools (D3.js, Tableau, etc.)
Great communication skills, curiosity about data, and passion about the business
Other machine learning jobs that might be interesting
Senior Machine Learning Engineer - Stoneridge (January 2021)
Novi, Michigan, United States
The Senior Machine Learning Engineer will develop state-of-the-art vision object detection and tracking algorithms based on Stoneridge’s reward winning product “MirrorEye”. Machine learning and deep learning are the major tools for the perception algorit...
Machine Learning Engineer - TransRe (January 2021)
NYC, New York, United States
This role will be part of our Applied Data Team and will be responsible for providing Machine Learning Engineering support.
Tasks & responsibilities required of this role include but are not limited to:
• Construct machine learning models including data co...
Machine Learning Engineer - SoFi (January 2021)
San Francisco, California, United States
Staff Data Scientist (Machine Learning Engineer)
San Francisco, California
The Invest Data Science team is looking to add data scientists / ML engineers (combined roles), who will help shape Invest product develo...
NLP Data Scientist - Aisera (January 2021)
Palo Alto, California, United States
AI / ML Data Science · Palo Alto, California
There are many examples of disruption in the consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations...
Machine Learning Engineer Intern - Mailchimp (January 2021)
Atlanta, Georgia, United States
The Mailchimp internship program started in 2013. In the past 7 years, we’ve had the privilege of bringing in some of the brightest, most talented college students from around the country to spend time with our teams. Our 12 week internship program was design...
Not the machine learning job you are looking for?
Browse all machine learning jobs
and we're sure you will find a suitable one!