Machine Learning Development Leader

Indiana  ‐ Onsite
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Description

Responsibilities:
  • Leverage large sets of structured and unstructured data to develop tactical and strategic insights.
  • Collaborate with analytic and data teams to set objectives, approaches, and work plans.
  • Research and evaluate new analytical methodologies, approaches, and solutions.
  • Develop and validate statistical forecasting models and tools.
  • Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers.
SKILLS:

Qualifications:
  • Advanced degree in a quantitative field such as applied statistics, mathematics, management science, engineering, economics, computer science, or operations research (Master's degree required, PhD preferred)
  • 4+ years experience in advanced analytics and model development and validation. This includes standard regression techniques for forecasting, as well as machine learning approaches for classification and regression.
  • Experience with a Scripting language such as Python (strongly preferred) or Lua.
  • Previous work with Python's numerical computing stack and machine learning libraries is a big plus.
  • Experience with a statistical package such as R, SAS, or Matlab.
  • Experience writing SQL queries and linking SQL and Python or R to enable read/write to the database.
Start date
n.a
From
Synectics
Published at
20.05.2015
Project ID:
907652
Contract type
Freelance
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