Infosys
Senior Analyst - Data Science
Infosys, Alpharetta, Georgia, United States, 30239
Infosys is seeking a Data Analyst with machine learning and Python experience. You will 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 ML use cases.
Basic Qualification : 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. At least 2 years of experience with Information Technology This position is located in Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate. This position may require travel.
Required: At least 2 years of 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 2 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. The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
Basic Qualification : 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. At least 2 years of experience with Information Technology This position is located in Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate. This position may require travel.
Required: At least 2 years of 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 2 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. The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity