15 days old
2018-05-102018-06-09

Machine Learning Data Scientist / Analytic Consultant 5

Location Flexible
  • Job Type
    Employee
  • Job Status
    Full Time

The Wells Fargo Data Management and Insights organization (‘DMI’) is building a best in-class data science team, focused on delivering enterprise-wide data driven insights based in both traditional and emerging analytical techniques.  Our team supports the DMI service model by providing LOBs with machine learning and predictive analytic consulting and guidance.

 

Key Responsibilities Include:

  • Lead machine learning projects, including working with business partners to define the scope and deliverable, developing the analytic plan and time line, leading deployment and delivering results
  • Provide technical advice to other members of the team and across the organization on topics including machine learning code, machine learning algorithms and traversing across multiple big data platforms
  • Identify and lead the evaluation of new software techniques and technologies, including delivery of results
  • Identify new applications for machine learning across the company and work with business partners to pilot
  • Building, testing and validating machine learning models for production use with open source tools
  • Using cutting edge Natural Language Processing techniques to extract useful information from unstructured text data in various data sources, such as customer complaints, social media comments, financial documents and web activity
  • Mentoring a team of junior data scientists and collaborating on new research
  • contributing to and managing an enterprise-level code base for NLP and Machine Learning tasks
  • Scaling analytics solutions to Big Data with Hadoop, Spark/PySpark and other Big Data tools

Requirements

Required Qualifications:

  • 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling
  • 3+ years of Python experience
  • 3+ years of SQL experience
  • 3+ years of experience using quantitative machine learning techniques

 

Desired Qualifications:

  • Solid understanding of and 3+ years of experience applying machine learning techniques such as neural networks, random forest, GBM and SVM, to form a story
  • Experience with signal processing or optimization techniques
  • Advanced knowledge of statistical techniques (e.g. sampling, probability, multivariate data analysis, regression, PCA, time-series analysis)
  • Strong ability to retrieve, combine and transform data from numerous information systems
  • Strong acumen in diagnosing and resolving data issues
  • Experience working with big data infrastructure with tools such as Hive, Spark and h2o
  • Exceptional analytical, critical thinking, quantitative reasoning skills, and problem-solving skills. Ability to relate complex analysis and insights to effective business strategy.

Categories

Industry

  • Banking / Finance

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Machine Learning Data Scientist / Analytic Consultant 5

Wells Fargo
Location Flexible

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Wells Fargo
Location Flexible

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