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.
Support marketing campaigns (e.g. email campaigns) using data analysis to monitor model decisions and impact.
Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives using 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.

Requirements

3-5 years of experience in exploratory data and modeling analysis
Programming, data modeling, simulation, and advanced mathematics
Python (or PySpark) and SQL skills
Model development experience
Data storytelling and technical presentation skills
Technical writing
Working knowledge of procedures, instructions, and validation techniques
Ability to collaborate and build relationships
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Problem Solving (Responds as problems and issues are identified)
Basic understanding of business and operating environment
Statistics knowledge
Understanding of experiment design
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
**Desired Qualifications**
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Ability to translate marketing concepts into machine learning
Pega experience including marketing campaigns
Model factory software experience (e.g. DataRobot)
PowerBI or similar experience
Databricks knowledge

Benefits

Highly competitive pay
Generous benefits and perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningdata analysisPythonPySparkSQLmodel developmentstatisticsexperiment designdata modeling

Soft Skills

data storytellingtechnical presentationtechnical writingcollaborationrelationship buildingproblem solvingbusiness understandingindependent judgmentprocess optimizationanalytical insights

Certifications

Bachelor's Degree in Data ScienceBachelor's Degree in StatisticsBachelor's Degree in MathematicsBachelor's Degree in Computer ScienceBachelor's Degree in EngineeringMaster's Degree in Data ScienceMaster's Degree in StatisticsMaster's Degree in MathematicsMaster's Degree in Computer ScienceMaster's Degree in Engineering