Job DescriptionJob Description:
IBM Watson Financial Services Solutions help global top-tier Financial Services clients solve their most complex business and financial risk issues. As an Entry-Level Data Scientist in the Financial Crimes Insight Solutions you will play a key role within the exciting Financial Crimes Insight Solutions business. Entry-Level Data Scientists extract knowledge or insights from structured or unstructured data. They draw upon the practice of data analysis, using predictive analytics, data mining, pattern recognition, data modeling, machine learning and various statistical methods in order to solve large scale optimization problems and to understand the meaning behind vast data sets
What You’ll Do:
You will implement and validate predictive models, and create and maintain statistical models with a focus on big data.
You’ll communicate with internal and external clients to understand business needs and provide analytical solutions.
You will use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights.
You’ll work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
Who You Are:
You are great at solving problems, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.
You thrive on teamwork and have excellent verbal and written communication skills.
You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python.
You have a basic understanding of statistical programming in a language such as R, SAS, or Python.
You have an interest in, understanding of, or experience with Design Thinking Methodology
You have an interest in, understanding of, or experience with Agile development methodologyRequired Technical and Professional Expertise
Preferred Tech and Prof Experience
- Must have basic knowledge of statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights.
- Some work experience using statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights
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.