Data Scientist
Armonk, NY

Job Description

Introduction

As a Data Scientist at IBM, you will help transform our 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's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

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, operations research / 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:

Key Responsibilities:

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. Build visual scenario comparison prototypes for "before" vs "after" KPI comparison, specifically for optimization-based decision-making applications

11. 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

Required Professional and Technical Expertise

* At least 3 years experience - in least one of the following: Python, R, Scala or Java. preference for Python
* At least 2 years experience - ability to consume and deploy data via APIs
* At least 2 years experience - applying supervised, unsupervised and semi-supervised learning techniques
* At least 2 years experience - Probabilities and Statistics
* At least 2 years experience - with Machine Learning pipelines - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying and diagnosing over fitting
* At least 2 years experience - in model selection and sampling

Preferred Professional and Technical Expertise

* At least 4 years experience - programming skills in Python
* At least 1 year experience - deep learning and neural nets

About Business Unit

Digitization is accelerating the ongoing evolution of business, and clouds - public, private, and hybrid - enable companies to extend their existing infrastructure and integrate across systems. IBM Cloud provides the security, control, and visibility that our clients have come to expect. We are working to provide the right tools and environment to combine all of our client's 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 has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, 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. We 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, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

Location Statement

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBM

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

Key Job Details

* Country:US
* State:NEW YORK
* City:ARMONK
* Category:Data Science
* Required Education:Bachelor's Degree
* Position Type:Early Professional
* Employment Type:Full-Time
* Contract Type:Regular
* Req ID:245879BR
* Location:ARMONK, NY US