Sr. Data Scientist

Job Description

  • Title:Sr. Data Scientist
  • Location/City: Detroit, Michigan
  • Job Type: Contract Corp to Corp
  • Duration: 12
  • Travel Required: No
  • Telecommute: No
  • Date Posted: 29th Jul 2019
  • Description:

    Sr. Data Scientist
    Detroit, MI
    12+ Months

    They play a pivotal role in the planning, execution and delivery of data science and machine learning and AI based projects. The bulk of the work will be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling.
    Requirements:
    A bachelor’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required.  Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
    Candidates should have 8-10 years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
    Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
    Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
    A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
    Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.

    Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.

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