Title

Data Scientist

Job Description

A data scientist with deep experience in one or more areas of data science, but pervasive exposure to all data science techniques / models. Ready to explore new data sets from clients, enable clients in the usage of IBM-provided data or models, or create new algorithms. Broad exposure to IBM tools and general data science models. SPSS or similar tool usage.
 
Data science professionals provide client-facing services for our next generation cognitive predictive analytics solution, providing insights powered by Watson Analytics. They work with IBM's clients and industry experts to correctly frame problems for the customer, analyze their data, apply machine learning technologies, and develop predictive insights helping analyze and address business problems, predict the future, or take action.
 
Typically data scientists should have at least a Master’s degree in data science, statistics, or related field and have expertise in machine learning, statistics, and data architectures. Experience with data science environments R, Python, SAS, or SPSS is very important. They have strong knowledge of Machine Learning techniques for regression, classification, clustering, and forecasting. Professional experience in addition to academic is important. Good communication and teaming skills are critical.

We look for professionals with:

Hands on experience working with very large data sets, including statistical analysis, data visualization, data mining, and data cleansing/transformation. 
Ability to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. 
Has successfully demonstrated in prior experience the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems across the company. 

Auto req ID

116691BR

Required Education

Master's Degree

Role ( Job Role )

Data Scientist

State / Province

VILNIAUS APSKRITIS

Primary job category

Research

Contract type

Regular

Employment Type

Full-Time

ERBP

Yes

Is this role a commissionable/sales incentive based position?

No

Travel Required

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

IBM Business Group

GBS

Preferred Education

Doctorate Degree

City / Township / Village

VILNIUS

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

  • Coursework in mathematics, statistics, machine learning, and data mining.
  • High level of comfort with various data types and structures: structured versus unstructured data, or static versus stream data.
  • Extensive prior experience in integrating data, profiling, validating and cleansing data.
  • Well versed/ good understanding of programming languages like Java/Python in order to generate derived data.
  • Experience of working within an Agile environment.
  • Strong understanding of algorithms and advanced data structures.
  • Outstanding interpersonal, communication and customer relationship skills.
  • Multivariate statistical and machine learning algorithms, such as Principal Component Analysis, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression
  • Troubleshooting skills.

Country

Lithuania

Preferred Technical and Professional Experience

  • Experience of applying advanced analytics and predictive modeling techniques.
  • Extensive knowledge of and experience in applying data mining and machine learning techniques in a professional context.
  • Proficiency in statistical tools like SAS, R, SPSS.
  • Experience with Hadoop, MapReduce, PIG and relational databases and SQL.

Eligibility Requirements

n/a

Position Type

Professional

Early Professional Track

Not Applicable - Professional Hire

New Collar Role

No

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Confirmed 23 hours ago. Posted 30+ days ago.

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