6 days old

Data Scientist-Machine Learning

Chantilly, VA 20151
  • Job Code
    227398BR
  • Jobs Rated
    7th
Introduction


Your Role and Responsibilities
IBM Global Business Services (GBS) is a team of business, strategy and technology consultants enabling enterprises to make smarter decisions and providing unparalleled client and consumer experiences in cognitive, data analytics, cloud technology and mobile app development. IBM GBS empowers clients to digitally reinvent their business and get the competitive edge in the cognitive era in over 170 countries.

Bottom line? We outthink ordinary. Discover what you can do at IBM.

The Data Scientist - Machine Learning will develop, evaluate and modify algorithms and algorithm ensembles to performance against various network data sources and network discovery and profiling use cases.

BENEFITS Health Insurance. Paid time off. Corporate Holidays. Sick leave. Family planning. Financial Guidance. Competitive 401K. Training and Learning. We continue to expand our benefits and programs, offering some of the best support, guidance and coverage for a diverse employee population. CAREER GROWTH Our goal is to be essential to the world, which starts with our people. Company wide we kicked off an internal talent strategy program called Go Organic. At our core, we are committed to believing and investing in our workforce through:
  • Skill development: helping our employees grow their foundational skills
  • Finding the dream job at IBM: navigating our company with the potential for many careers by channeling an employees strengths and career aspirations
  • Diversity of people: Diversity of thought driving collective innovation
In 2015, Go Organic filled approximately 50% of our open positions with internal talent that were promoted into the role.


CORPORATE CITIZENSHIP
With an employee population of 375,000 in over 170 countries, amazingly we connect, collaborate, and care. IBMers drive a corporate culture of shared responsibility. We love grand challenges and everyday improvements for our company and for the world. We care about each other, our clients, and the communities we live, work, and play in!
  • http://www.ibm.com/ibm/responsibility/initiatives.html
  • http://www.ibm.com/ibm/responsibility/corporateservicecorps


Required Professional and Technical Expertise
  • US Citizen with TS/SCI security clearance and Full-Scope Polygraph.
  • Proficient in programming skills to include: JAVA, Python and Object Oriented Programming-3 years
  • Proficient in Machine Learning to include: feature extraction statistical approaches, linear and non-linear classifiers and deep learning-3 years
  • Ability to apply, evaluate, and modify machine learning algorithms against various data sources and use cases
  • Ability to articulate complex analytic and technical problems
  • Can work effectively without detailed instructions


Preferred Professional and Technical Expertise
  • Experience working with Agile software development teams
  • Experience presenting to groups and/or facilitating small group meetings
  • Experience providing training in software applications to small groups
  • Interest in national security


About Business Unit


Your Life @ IBM


About IBM


Location Statement


Being You @ IBM
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.

Industry

  • Computers Software and Hardware

Jobs Rated Reports for Data Scientist

Posted: 2019-09-10 Expires: 2019-10-10

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Data Scientist-Machine Learning

IBM
Chantilly, VA 20151

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220
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