Data Engineer/Scientist

Job description

ToolBox@IBM is part of the IBM CIO organization that is helping to transform the way IBM works by making it possible for IBMers to use the best tools in the world which support modern best practices. We are dedicated to driving positive culture change throughout the company by providing tools and tool automations that make it easier for IBMers to do higher value work. Thanks to the size and scale of IBM, we are responsible for managing the largest instance in the world of each of our tools. We apply data engineering and data science techniques leverage the data inside these tools to tell us how IBM is transforming. We focus on providing a world-class user experience for IBMers and we treat security as a fundamental aspect of this user experience. We use several modern security services and tools to enable our secure engineering practices. And we use the latest techniques, practices and technology in the industry in order to successfully host large scale mission critical infrastructure. We strive to keep learning and improving, and we work to share the knowledge we have learned
throughout IBM.

We cultivate an open, healthy, diverse, and engaging work environment where team members are continuously gaining new skills which align with individual interests.

We're hiring a data engineer/scientist to expand our team of analytics experts

Responsibilities
·  Work with stakeholders across organization to identify opportunities on driving growth of product/service/solution
·  Provide data architecture and perform analytics tasks to optimize product/service operations
·  Discover metrics and measurements from variety datasets by developing data models and algorithms
·  Build and scale data processing and analytics platform to meet growing needs of data architecture
·  Use machine learning techniques to improve decision making process of leadership
Auto req ID

140793BR
Required Education

Bachelor's Degree
Role ( Job Role )

Data Scientist
State / Province

NORTH CAROLINA
Primary job category

Data Science
Company

(0147) International Business Machines Corporation
Contract type

Regular
Employment Type

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

No
Travel Required

No Travel
IBM Business Group

F&O
Preferred Education

None
City / Township / Village

RESEARCH TRIANGLE PARK
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

·  Excellent time management and interpersonal skills
·  Familiarity with Agile methodologies and principles, experience in an Agile team
·  Understanding of DevOps practices (Continuous Integration/Delivery/Monitoring/etc)
·  Excellent communication skills, both verbal and written
·  Ability to work with cross functional teams
·  Fearlessness in the face of the unknown
Country/Region

United States
Preferred Technical and Professional Experience

Data Engineering
·  Python programming skills. Experience with Pandas is preferred
·  Experience with big data tools: Apache Hive/Spark
·  Data processing and analytics skills with structured/unstructured large datasets (TBs)
·  Experience with data stores like SQL/NoSQL databases, data warehouse or object storage service
·  Working knowledge of and experience with cloud services. AWS/GoogleCloud/Azure/IBM-cloud, etc. Data Science
·  Strong problem solving, discovery skills with advanced degree (Master or above) on Computer
·  Science, Statistics or related Engineering fields.
·  Data processing computer language experience like Python/R/SQL etc.
·  Knowledge of advanced statistical techniques and concepts.
·  Familiarity with machine learning techniques
·  Real-world problem solving experience.
·  Experience on data architecture. E.g., datastore, analytics platform, data processing pipeline
Eligibility Requirements

na
Position Type

Professional
New Collar Role

No