Operations Research / Data Science Engineer

Description de l'offre

Make an impact ! Join IBM as a Data Scientist

IBM is the largest technology and consulting employer in the world, serving clients in 170 countries. In this new era of Cognitive Business, IBM is helping to reshape industries by bringing together our expertise in Cloud, Analytics, Security, Mobile, and the Internet of Things. We are changing how we create. How we collaborate. How we analyze. How we engage. IBM is a leader in this global transformation so there is no better place to launch your career or further your career.

The team you'll join : an Elite team

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.

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.

What you'll do :
·  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
·  Build basic visual scenario comparison prototypes for "before" vs "after" KPI comparison, specifically for optimization-based decision-making applications
·  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
Being a Data Scientist @ IBM

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.

Meet Alix Lacoste , a young IBM Data Scientist : https://youtu.be/7DnVAmbEBfk

IBM ranked #1 by Gartner in Data Science platform : https://www.ibm.com/analytics/us/en/technology/data-science/gartner-mq.html

Join us ! Be part of a diverse and global team of thinkers and doers. Work with extraordinary, insightful, imaginative people in an environment that cultivates creativity and individuality.

Please note that your resume must be in English.

Auto req ID

117577BR
Required Education

Bachelor's Degree
Role ( Job Role )

Data Scientist
State / Province

ALPES-MARITIMES
Primary job category

Data Science
Contract type

Regular
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

Up to 75% or 4 days a week (home on weekends - based on project requirements)
IBM Business Group

Hybrid Cloud
Preferred Education

Master's Degree
City / Township / Village

NICE MERIDIA
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.
Required Technical and Professional Expertise

·  At least 2 years experience – applying mathematical modeling and/or constraint programming to range of industry problems
·  At least 2 years experience –programming skills in Python or Java
·  At least 2 years experience –ability to consume data via API's
·  At least 1 year experience - using the output of predictive models as input into decision optimization problems
·  At least 2 years experience - building "what-if" scemarop analysis and/or Monte-Carlo optimization
·  At least 2 years experience - building visual scenario comparison prototypes for "before" vs "after" KPI comparison, specifically for optimization-based decision-making applications
·  At least 2 years experience working as part of a multi-disciplinary team to build and deploy line-of-business solutions
Skill-keywords

Data Scientist
Country

France, Germany, Netherlands, Poland, Switzerland, United Kingdom
Preferred Technical and Professional Experience

·  At least 1 year experience CPLEX
Eligibility Requirements

·  Fluent in English and the local language where the candidate will be based
Position Type

Professional
New Collar Role

No