Data Scientist / Developer

Job description

Ever wondered how to answer the question: Why should I join IBM?
·  Company exists for more than 100 years; there must be lots of innovation inside to keep up and running for so long.
·  We do things that change the world: we develop airport flight management systems, we fight with cancer, we develop super computers, 30% of every produced mobile phone is related to IBM.
·  We are a Blockchain and AI developing company.
·  We embrace the latest technologies and methods of work to stay ahead of the market. If technology is missing, we do invent it!
·  We are a trusted partner for a number of the biggest companies; we partner with companies in top 500.
·  We are interested to develop our people.
·  IBM is a global, multi-cultural, multi-country, multi-language company. This is a great place to meet people, to get to know countries, ways of doing business, to travel.
·  In IBM you can become whatever you want: developer, consultant, manager, scientist, sales person.
·  We all have the same rules despite title.
About IBM Lithuania:
IBM Client Innovation Center Baltic was established in 2006 and is located in Lithuania. CIC Baltic delivers Cognitive and Analytics innovations, Enterprise Applications consulting and large scale Integrated Custom Development Solutions.

About Department/Role:
Currently IBM CIC Baltic is hiring Experienced Data Scientist / Developer. In this role you will build a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.). You will apply knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).

Benefits:
·  To be part of international projects based on your experience, career goals and personal aspirations.
·  Dynamic work in projects for customers from Fortune 500 companies list.
·  Premium, full life-cycle work experience on high-profile IT solutions with direct impact on people and businesses.
·  Possibilities to apply the latest methodologies and technology in your daily work.
·  Personalized professional growth, mentoring, training and clear career progression.
·  Flexible work & life balance.
·  Remote work opportunities.
·  Travelling around the globe to meet different cultures and work environments.
·  Compensation according to the market top rates.
·  Private health insurance, life insurance, critical illness insurance.
Auto req ID

195117BR
Required Education

Bachelor's Degree
Role ( Job Role )

Data Scientist
State / Province

VILNIAUS APSKRITIS
Primary job category

Data Science
Company

(0394) IBM Lietuva
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

Master's 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

·  Education in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics).
·  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 trees, neural networks, etc.
Country/Region

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
Secondary Job Category

Other Data Science
Eligibility Requirements

·  Fluency in English
·  Troubleshooting skills
·  Good verbal and written communications skills
·  Availability to travel
Position Type

Professional
Early Professional Track

Not Applicable - Professional Hire