Job Description :
looking for Data Scientist Lead based in Richardson, TX (Remote till Covid-19) Fulltime. If interested please share your resume at
Role: Data Scientist Lead Analyst
Fulltime Role
Work Location: Richardson, TX
Description: Data Science Consultant with machine learning and Python experience for our client in Richardson, TX. Work on productionizing machine learning models and guide development team for implementing end to end machine learning use case. They will define end to end architecture of Data Science and machine learning project along with being the technology architect. The candidate will provide technology consulting for defining right Data Science and Client use cases and provide high level architecture.
Required Qualifications:
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
8 years of experience with Information Technology
5+ years NLP analysis skills, software engineering or systems analysis experience preferred
Programming – Python, R
Machine Learning – strong fundamentals in machine learning
Deep Learning – experience with CNNs, RNN, LSTMs and the latest research trends
Experience with Lean / Agile development methodologies
Preferred Qualifications:
4+ years of hands on experience with more than one programming language; Python, R, Scala, Java, SQL
Prior experience in Azure chatbot /DialogFlow/ Alexa/ RASA/ Amazon Lex
Strong programming skills, strong IT background
Shipped one or more machine learning based products.
Experience with data gathering, data quality, system architecture, coding best practices
Big Data Experience strongly preferred – HDFS, Hive, Spark, Scala
Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
Data visualization tools such as Tableau, Query languages such as SQL, Hive
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Experience and desire to work in a Global delivery environment