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IBM is seeking for Senior Data Scientist Machine Learning who will work in code notebooks, build and validate models and use code repositories to version and share code/notebooks.
1. Identify a use case
2. Break that use case down into discrete MVPs (minimal viable product)
3. Work in code notebooks
4. Build & validate models
5. Deploy models via APIs into applications or workflows
6. Monitor & retrain models
7. Use code repositories to version and share code/notebooks
8. Visualize the output of their data story in a way that is consumable by all
9. Create Machine Learning pipelines and train models.
10. Communicate effectively with line-of-business end-users to discover pain points and use cases, lead project definitions, and convey the
business value of the project
11. Guide and mentor clients to become self-sufficient data science practitioners
12. Guide and mentor clients to become self-sufficient data science practitioners
Required Technical and Professional Expertise:
At least 5 years experience - Computer Science, Programming skills
At least 5 years experience - Probability and Statistics
At least 4 years experience - Data Modeling and Evaluation
At least 4 years experience - Big Data and Machine Learning
Preferred Tech and Prof Experience:
At least 7 years experience - programming skills in at least two of the following: Python, R, Scala or Java. preference for Python Expert
At least 5 years experience - Ability to consume and deploy data via APIs
At least 4 years experience - in applying supervised, unsupervised and semi-supervised learning techniques
At least 4 years experience - Machine Learning pipeline - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying and diagnosing over fitting
At least 5 years experience - in model selection and sampling
At least 2 years experience - deep learning and neural nets
At least 5 years experience - Business and Leadership
Senior Data Scientist Machine Learning
Machine Learning Engineer
IBM is a global technology and innovation company headquartered in Armonk, NY. It is the largest technology and consulting employer in the world, with more than 375,000 employees serving clients in 170 countries. Just completing its 22nd year of patent leadership, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across six continents. Scientists from IBM Research have produced six Nobel Laureates, 10 U.S. National Medals of Technology, five U.S. National Medals of Science, six Turing Awards, 19 inductees in the National Academy of Sciences and 20 inductees into the U.S. National Inventors Hall of Fame. Today, IBM is much more than a hardware, software, services company. IBM is now emerging as a cognitive solutions and cloud platform company. Our work and our people can be found in all sorts of interesting places. IBMers are helping transform healthcare, improving the retail shopping experience, rerouting traffic jams and even designing the next generation fan experience in sports stadiums around the world. It's the kind of thing we've been doing for more than 100 years.
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