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Job Type
Full Time -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
United States -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
Job Description
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
This Data Scientist role with IBM Finance is focused on the design, development, and implementation of supervised and unsupervised learning models to provide financial insights that enhance IBM’s business results.
Responsibilities Include:
- Data collection
- Exploratory data analysis
- Model selection/testing/validation
- Fact-based quantitative analysis
- Systematic model explainability
- Model interpretation in business terms, and communication of findings to business leaders.
The Data Scientist will collaborate with other data scientists, data engineers, and business stakeholders to develop and deploy production-ready machine learning models, as well as manage the model pipeline and perform change management.
This will be a fully remote role open to candidates in Eastern and Central time zones only. Candidates can report to a nearby IBM Hub if/as needed.
Required Technical and Professional Expertise
- BS in Data Science, Machine Learning, Statistics, or related STEM field
- High level of aptitude in Python
- Experience with Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
- Experience and coursework in machine learning, natural language processing, and deep learning, as well as unsupervised learning methods
- Statistical modeling through programming languages (e.g. Python and R)
- Experience working with structured and unstructured data
- Experience building end-to-end data pipelines and deploying in the Cloud
- Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
- Experience in Agile development
- Excellent oral and written communication skills
- Ability to collaborate in a team environment
Preferred Technical and Professional Expertise
- MS degree in Data Science or related quantitative Field or 3+ years of relevant experience
- Experience and/or coursework in Deep Learning
- Proficiency with other programming languages such as R and SQL
- Professional experience with Big Data (Spark, Hadoop, etc.)
- Experience working with Financial data
- Understanding of common Finance concepts
- Hands-on experience deploying analytical models to solve business problems
- Ability to develop experimental and analytical plans for data modeling processes
- Experience with data visualization tools
Company Info.
IBMIBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 290,000 employees serving clients in 177 countries. IBM Research provides unparalleled insight into business, industry and society by leveraging advanced computing architectures and methodologies to solve some of the world’s most pressing challenges.
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IndustryInformation Technology,Computer software,Computer hardware
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No. of Employees292,500
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LocationNew Orchard Road, Armonk, New York, NY 10504, USA
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Website
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Jobs Posted
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IBM is currently hiring Data Scientist Jobs in United States with average base salary of $120,000 - $190,000 / Year.
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