• Data Science Summer Internship

    Job Locations US-MA-Boston
    Posted Date 2 weeks ago(4/11/2018 3:45 PM)
    Job ID
    2018-1397
    # of Openings
    1
    Category
    Engineering
  • Overview

    SMG  (Service Management Group) develops the algorithms, software systems, and visualizations to deliver timely, actionable location-based business intelligence to a growing list of national and regional brands.

     

    SMG partners with over 350 brands to create 5-star human experiences that drive loyalty and profitable sales. SMG’s holistic approach differentiates through state-of-the-art measurement, technology, and insights that help clients listen, understand, and act. Strategic solutions include Customer Experience Measurement, Employee Engagement, OmniView Feedback, Social Monitoring + Publishing, and Brand Research. SMG is an AMA Top 50 research firm with a global footprint—evaluating over 150 million surveys annually, in 50 languages across 130 countries.

     

     

    Responsibilities

    As a summer intern on our Data Science team, you’ll see code you write go live every week, analyzing, and acting on data received from hundreds of thousands of consumers. Through this opportunity Big Data philosophies and software will be applied to integrate these data feeds and support more efficient and effective business decision-making.  Successful applicants can expect to work closely with a mentor to apply statistical regression models, machine learning, clustering, Bayesian classification, text analytics, advanced geo-spatial analysis and experiment design to real-world business problems.

    Qualifications

    • Ideal candidates will be working toward a BS or an MS degree in Computer Science, Electrical Engineering or related science/engineering field.
    • Junior or Senior+ level software, systems or electrical engineering experience
    • Experience with Python, Spark and database technologies including DynamoDB, Hive, Elasticsearch
    • Analytic skills to characterize BigData system performance and to identify design improvements
    • Familiarity with cloud platforms and services including Spotfire, Tableau, Amazon Mechanical Turk

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