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Senior Data Scientist 961 views

As a Data Scientist at IBM, you will help transform their clients? data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open-source and visual tools, along with the most flexible and scalable deployment options. Whether it is investigating patient trends or weather patterns, you will work to solve real-world problems for the industries transforming how they live.

Your Role and Responsibilities
They 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, they 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, operations research/optimization engineers and data journalists.

Key Responsibilities

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 scientists 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. They will teach the data scientists and sometimes people who desire to be a data scientist to:

  • Identify a use case
  • Break that use case down into discrete MVPs (minimal viable product)
  • Work in code notebooks
  • Build & validate models
  • Deploy models via APIs into applications or workflows
  • Monitor & retrain models
  • Use code repositories to version and share code/notebooks
  • Visualize the output of their data story in a way that is consumable by all
  • Create Machine Learning pipelines and train models.
  • Communicate effectively with line-of-business end-users to discover pain points and use cases, lead project definitions, and convey the

the business value of the project

  • Guide and mentor clients to become self-sufficient data, science practitioners
  • Guide and mentor clients to become self-sufficient data, science practitioners

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 Operations Research / Decision Optimization.

Preferred work locations: Astor Place New York, NY and San Jose, CA

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 Technical And Professional Expertise

  • 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 overfitting
  • 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

About Business Unit

Digitization is accelerating the ongoing evolution of business, and clouds Рpublic, private, and hybrid Рenable companies to extend their existing infrastructure and integrate across systems. IBM Cloud provides the security, control, and visibility that their clients have come to expect. They are working to provide the right tools and environment to combine all of their clients?  Data, no matter where it resides, to respond to changing market dynamics.

Your Life @ IBM
What matters to you when you’re looking for your next career challenge? Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities where you can truly discover your passion? Are you looking for a culture of openness, collaboration, and trust? Where everyone have a voice? What about all of these? If so, then IBM could be your next career challenge. Join them, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBM

IBM’s greatest invention is the IBMer. They believe that progress is made through progressive thinking, progressive leadership, progressive policy, and progressive action. IBMers believe that the application of intelligence, reason, and science can improve business, society and the human condition. Restlessly reinventing since 1911, they are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

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