Analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights
Designing and developing methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights
Developing programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets
Overseeing data mining using modern tools and programming languages
Developing predictive and prescriptive models of moderate complexity
Driving action and tracking performance of models
Creating visualizations and communicating insights to technical and non-technical audiences
Leading a project team of data science professionals and providing guidance, training, and mentoring

Requirements

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence
4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field
Advanced degree with 3-5 years of work experience preferred
Programming Language/s Certification (SQL, Python, or similar)

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analysisstatistical techniquesdata miningpredictive modelingprescriptive modelingprogrammingalgorithm developmentdata cleansingdata integrationdata visualization

Soft Skills

leadershipmentoringcommunicationteam guidancetraining

Certifications

Programming Language Certification