Modifies and analyzes standardized data sets using analytics techniques
Develops, implements, and matures analytics solutions for a range of quality and operational applications
Connects and integrates data sources, develops backend logic, and delivers user-ready visualization
Investigates data characteristics, complexity, quality, and meaning
Prepares data for analysis, including cleansing, conditioning, transforming, and modeling
Identifies best-fit data science methodology given the data and business applications
Monitors production and deployment; prepares decision support visualizations and reports

Requirements

Bachelor of Science degree or higher in data science, machine learning, applied statistics, mathematics, computer science, engineering
2+ years of experience in data science or analytics
2+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
2+ years of experience in performing statistical analysis

Benefits

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analysisdata cleansingdata transformationdata modelingstatistical analysismachine learningprogrammingdatabase managementanalytics techniquesdata science methodology