Consult on migration from legacy SAS implementations to Python based solutions
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Generate actionable insights for business improvements
Provide consultative advice in emerging areas of Data Science, Data Visualization, Statistical Tools and Analytics (Python, R), in alignment to client goals and strategies.
Assist in the design and develop prototypes and proofs-of-concept based on business area and IT needs on an as-needed basis
Qualifications
Bachelor's or Master's degree mathematics, computer science, engineering, or related field
At least 4 years' of experience in quantitative analytics or data modeling
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Fluency in a programming/scripting languages (Python, Java, SQL, R, SAS)
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Power BI)
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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