Data Scientist with PhD

Pactera EDGE
Pactera EDGE

Job Overview

Responsibilities
· Have an ability to mine data sets with Cosmos, Hadoop or Spark like technologies
· Transform data into innovative features/signals that can improve a machine-learning task
· Build machine learning models and evaluating their quality on real life scenarios
· Prototype new approaches and develop new algorithms using ML techniques
· Work with other data scientists, engineers, UX experts to deliver a robust solution to the customer
· Have an ability to self-learn new techniques from textbooks and research papers
· Never compromise on engineering excellence and delivering quality at scale

Qualifications
· PHD in Computer Science, Engineering, Applied Mathematics, Statistics, or related fields
· 3+ years of experience (or research projects in lieu of industry experience) in the areas of data science, machine learning, information retrieval, especially natural language processing
· Experienced with DNN, RNN or CNN
· Have AI, Machining learning related publications is a plus
· Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.)
· Demonstrable skills and experience using SQL or NoSQL data stores
· Excellent verbal and written communication skills

Job Requirements:

  • Responsibilities
    · Have an ability to mine data sets with Cosmos, Hadoop or Spark like technologies
    · Transform data into innovative features/signals that can improve a machine-learning task
    · Build machine learning models and evaluating their quality on real life scenarios
    · Prototype new approaches and develop new algorithms using ML techniques
    · Work with other data scientists, engineers, UX experts to deliver a robust solution to the customer
    · Have an ability to self-learn new techniques from textbooks and research papers
    · Never compromise on engineering excellence and delivering quality at scale

    Qualifications
    · PHD in Computer Science, Engineering, Applied Mathematics, Statistics, or related fields
    · 3+ years of experience (or research projects in lieu of industry experience) in the areas of data science, machine learning, information retrieval, especially natural language processing
    · Experienced with DNN, RNN or CNN
    · Have AI, Machining learning related publications is a plus
    · Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.)
    · Demonstrable skills and experience using SQL or NoSQL data stores
    · Excellent verbal and written communication skills.

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