Position: 吳俊逸 > AI
IBM Data Scientist - Advanced Analytics
by 吳俊逸 2018-05-20 10:41:22, Reply(0), Views(938)

Job Description

Data Scientist is a role for quantitatively adept people with accompanying business skills. A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math. What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization.A data scientist is effective at deploying an analytics solution, thereby realizing business value.Whereas a traditional data analyst may look only at data from a single source – a CRM system, for example – a data scientist will most likely explore and examine data from multiple disparate sources. The data scientist will extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also builds statistical models, determines what it means, then recommends ways to apply the data.Data scientists are inquisitive: exploring, asking questions, doing what if analysis, questioning existing assumptions and processes. Armed with data, modeling expertise, and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization's leadership structure.



State / Province


City / Township / Village


IBM Business Group


Primary job category

Data Science

Role ( Job Role )

Data Scientist

Employment Type


Contract type

Fixed Term - Short Term

New Collar Role


Required Technical and Professional Expertise

• Python / Java /  Perl Scripting
• Statistics / Machine Learning / Data mining Methods - Quant / Text analytics:
• Classification Models – Logistic Regression, Naïve Bayes, CART, Decision trees, CHAID, Random forest, MaxEnt, Neural Networks, Support Vector Machines
• NLP - GATE, Cluto clustering tool, Open Calais, social media site scraping, sentiment analysis
• Statistics – correlation, regression analysis, Trend analysis, Descriptive analysis
• Excellent Communication
• Ability to pick up new areas and work

Preferred Technical and Professional Experience

6+ years of relevant experience
8+ Years exposure to developing enterprise class analytical insights on cloud/on-prem

Eligibility Requirements


Required Education

Bachelor's Degree

Preferred Education

Master's Degree

Early Professional Track

Not Applicable - Professional Hire

Position Type

Early Professional

Travel Required

Up to 50% or 3 days a week (home on weekends - based on project requirements)

Is this role a commissionable/sales incentive based position?


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.