Data Scientist

Description

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.

Responsibilities

Design, develop, and evaluate moderately complex predictive models and advanced algorithms

Identifies meaningful insights from large data and metadata sources

Test hypotheses/models, analyze, and interpret results

Exercise sound judgment and discretion within defined procedures and practices

Develop and code moderately complex software programs, algorithms, and automated processes

Use modeling and trend analysis to analyze data and provide insights

Develop understanding of best practices and ethical AI

Transform data into charts, tables, or format that aids effective decision making

Build working relationships with team members and subject matter experts

Lead small projects and initiatives

Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

?ualifications

3-5 years of experience in exploratory data analysis

Basic understanding of business and operating environment

Statistics

Programming, data modeling, simulation, and advanced mathematics

S?L, R, Python, Hadoop, SAS, SPSS, Scala, AWS

Model lifecycle execution

Technical writing

Data storytelling and technical presentation skills

Research Skills

Interpersonal Skills

Working knowledge of procedures, instructions, and validation techniques

Model Development

Communication

Critical Thinking

Collaborate and Build Relationships

Initiative with sound judgement

Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)

Sound Judgment

Problem Solving (Responds as problems and issues are identified)

Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired : Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers

Science, or Engineering