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Data Scientist

Job ID : 34735

Job Title : Data Scientist

Location : Manchester, MI

Comapny Name : Emblue

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $102700 - $104000  per hour

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

No. of Positions : I have ongoing need to fill this role

Posted on : 09-18-2023

Required Skills : Machine learning, Deep learning, Data visualization.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Requirement:

  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience.
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience.
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience.
  • OR equivalent experience.
  • 2+ years of programming experience in Python OR Scala.


Responsibilities:

  • Support the streaming business with machine learning and statistical modeling focused on understanding and predicting subscriber behavior, such as churn, upgrade/downgrade, price sensitivity, user segmentation, survival analysis, experimental design and analysis, and causal inference.
  • Develop and implement innovative Machine Learning techniques to answer key business questions while identifying new areas to explore
  • Drive experimentation to evaluate the impacts of your models.
  • Partner closely with team members across the organization to identify and unlock opportunities. You will also collaborate with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
  • Present your recommendations to senior executives.

Key Skills:

  • Programming.
  • Statistics and probability. 
  • Data wrangling and database management. 
  • Machine learning and deep learning. 
  • Data visualization. 
  • Cloud computing. 
  • Interpersonal skills.

Company Details :

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