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Machine Learning Analytic Developer

  • Country:US
  • State:NC
  • Category:Software Development & Support
  • Required Education:Bachelor's Degree
  • Position Type:Professional
  • Employment Type:Full-Time
  • Contract Type:Regular
  • Req ID:124283BR
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Job Description
IBM Watson FSS: Join a Leader in Financial Services Solutions!

IBM Watson Financial Services Solutions help global top-tier Financial Services clients solve their most complex business and financial risk issues. As a Machine Learning Developer in the Financial Crimes Insight Solutions you will play a key role within the exciting Financial Crimes Insight Solutions business. You will use your subject matter expertise and data science skills to design, develop and deploy data driven solutions from pre-sales to delivery.

The Financial Crimes Insight development organization is a fast-paced product development team working in an agile environment. As a member of the development team you will apply data science skills to ensure the successful design and implementation through various phases of POCs and solution implementations. Main responsibilities include: development of supervised and un-supervised models, analysis of industrial-sized data sets to determine suitability for model building; identify opportunities for data augmentation; data staging and analysis; signal processing, pattern identification and feature extraction; variable creation and selection; experimentation with algorithms; performance analysis and presentation for communication with internal and external clients. The Machine Learning Developer creates, tests and validates hypotheses for business problems. Able to work with experts in a business area; has some knowledge of business strategy/execution. Identifies approaches to improve the accuracy and effectiveness of analytics models. Understands and prepares data for analysis by applying knowledge of data sources and how they are gathered, stored and retrieved as well as manipulating large volumes of data. Able to effectively use key analytics tools to design, develop and apply appropriate statistical and mathematical techniques to solve business problems as well as to create repeatable, automated processes. Familiar with several data and big data tools. Creates visual presentations of analytics results and sometimes translates quantitative insights for a non-technical audience. Works with target users to deploy analytics solution.

Required Technical and Professional Expertise

  • Minimum 2 years experience designing and implementing machine learning solutions including supervised and un-supervised models.
  • Should be experienced with closed loop (feedback) designs for self-improvement models.
  • Analytic/scientific programming skills (UNIX, Python, scripting, R, SAS, MATLAB, Spark, SPSS, etc)
  • Knowledge and understanding of SQL, JAVA, Scala, or Big Data infrastructure

Preferred Tech and Prof Experience

  • Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation

EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Preferred Education: Master's Degree Commissionable: No
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