Cognitive Apps Engineer, Data Scientist, IBM Consulting

Job Description
IBM Global Business Services: Join a Leader. Consult with us.

IBM Global Business Services helps top-tier clients solve their most complex business and technical issues. As a Data Scientist, you will deliver innovative business consulting, business process design, systems integration, and application design and management to leading sector organizations in 17 industries worldwide. With access to resources that only a global leader can provide, you will learn valuable skills, gain access to a vast and diverse network of talented professionals, and enjoy unparalleled career, training, and educational opportunities.

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The Cognitive Apps Engineer, Data Scientist will be familiar with key internal and external data sources and how they are gathered and retrieved; experience with manipulation large volumes of data leveraging open source technologies is essential. The incumbent will be experienced with various languages and tools and able to select a suitable tool for the analytics solution or working with data.
In addition to broad and deep data and analytics skills, the data scientist has strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Incumbents also advise on and select the business problems that have the most value for the organization.

A successful candidate must have hands-on experience working with the following:

  • At least 3 years of experience working on predictive analytics and data mining projects
  • 3 years hands on experience using complex machine learning methods and algorithms such neural net, deep learning and collaborative filtering.
  • At least 3 years of experience working with one or more data mining tools such as R, Python, Spark, SAS and SPSS
  • Hands-on experience writing complex SQL queries and working with relational databases such as Oracle DB2 and SQL Server
  • Hands-on experience constructing and manipulating JSON and XML documents and working with NoSQL databases such as MangoDB and CouchDB.
  • Understanding of SOA Architecture and hands-on experience working with REST and SOAP APIs
  • Self-directed and demonstrable problem solving skills
  • Knowledge of modern software development techniques and methodologies
  • Knowledge and practice of secure software development processes.
  • Excellent written and verbal communication skills. Ability to communicate effectively with a broad range of constituents
  • Ability to handle multiple priorities and deadlines


Required Technical and Professional Expertise

Required Technical and Professional Expertise
  • At least 3 years of experience working on predictive analytics and data mining projects
  • 3 years hands on experience using complex machine learning methods and algorithms such neural net, deep learning and collaborative filtering.
  • At least 3 years of experience working with one or more data mining tools such as R, Python, Spark, SAS and SPSS
  • Hands-on experience writing complex SQL queries and working with relational databases such as Oracle DB2 and SQL Server
  • Hands-on experience constructing and manipulating JSON and XML documents and working with NoSQL databases such as MangoDB and CouchDB.
  • Understanding of SOA Architecture and hands-on experience working with REST and SOAP APIs


Preferred Tech and Prof Experience

  • 5 years of experience working on predictive analytics and data mining projects
  • 5 years hands-on experience and affinity to learn and use Machine Learning, Cognitive, and AI APIs
  • 5 years hands-on experience in building node.js, Python, or Swift applications
  • 5 years hands on experience working with Big Data technologies such as Spark, Cassandra, MongoDB, or Hadoop
  • 5 years of experience using data transformation and integration services such as Kafka Connect
  • 5 years hands-on experience with both relational and NoSQL technologies
  • Hands-on experience in building full-stack web and data apps


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.


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