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Company Name:
Approximate Salary:
Not Specified
Information Technology
Position type:
Full Time
Experience level:
Entry Level
Education level:
Bachelor's Degree
Sandy Springs
Job Title:
IBM Tech by Degree - Junior Data Engineer

IBM Tech by Degree - Junior Data Engineer

Job Description
We are in a data science renaissance. Companies that embrace data science will lead and those who do not will fall behind. To help IBM's clients lead, we are building an elite team of data science practitioners to help them learn how to succeed with data science. The team will include data engineers, machine learning engineers, optimization engineers and data journalists. The team will engage directly in solving real-world data science problems in a wide array of industries around the globe with IBM clients and internally to IBM. The elite team of data scientist will work with other IBMers and client data science teams to solve problems in banking, insurance, health care, manufacturing, oil & gas and automotive industries, to name a few. We will teach the data scientists and sometimes people who desire to be data scientist to: 1. Identify a use case2. Break that use case down into discrete MVPs (minimal viable product)3. Work in code notebooks4. Build & validate models5. Deploy models via APIs into applications or workflows6. Monitor & retrain models7. Use code repositories to version and share code/notebooks8. Visualize the output of their data story in a way that is consumable by all While working across all these industries, you will also get to travel the World as these engagements will require that the team spend several weeks at client sites working on data science problems with a diverse team.As a member of the team you will have a T-shaped skill set, having a broad knowledge base in Data Science and Industry Solutions in general, but also in depth expertise in one or more of Data Engineering, Machine Learning, or Decision Optimization.

Required Technical and Professional Expertise

  • Degree on Mathematics, Statics, Computer Science, Physics, Engineering or related fields. Also those double degrees including any of the previous backgrounds.
  • Proficient programming skills (java, node.js)
  • Knowledge of Hadoop MapReduce, Docker, Python, R (Python preferred)
  • 2 years of experience working on big data & analytics projects
  • Big Data expertise - machine learning, deep learning, statistics, data modelling
  • Fluent in Spanish and English

Preferred Tech and Prof Experience

  • Ability to consume and deploy data via APIs
  • Expert in applying supervised, unsupervised and semi-supervised learning techniques
  • Expert with ML pipeline - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying and diagnosing over fitting
  • Expert in model selection and sampling
  • Experience with deep learning and neural nets
  • Business experience and/ or leadership experience
  • Excellent communication skills

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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