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Principal Statistical Analyst / Data Scientist

Qualifications
Education & Experience Requirements:
MS degree in Analytics, Statistics, or Mathematics fields and 12+ years of Analytics experience or PhD degree and 10+ years of Analytics experience
5+ years of SAS programming experience in previous roles (SAS not substitutable with any other programming language).
Expertise acquired through prior experience in applying statistical/mathematical techniques in 2 or more business units/focus areas (Operations, Supply Chain, Real-Estate, Pricing, Marketing, Credit Risk management).
Advanced knowledge of the applications of Analytics in all business units/focus areas
Must be a master storyteller able to explain complicated statistical analyses, techniques, and results to non-statistical audiences of C-level Executives and below.
Capable of working and communicating directly with C-level Executives and below to scope the technical needs of large scale, high-value, technically complex projects.
Capable of developing, training, mentoring, and technically supervising all levels of analysts
Expert in writing extremely large and complex technical documents for auditors or government
Benefits, Privileges and Growth Opportunities
We offer over 31 Benefits and Privileges to include medical, dental, vision, 401k, cash balance retirement plan and more.
We are An Equal Opportunity Affirmative Action Employer, in fact, 'One of our strengths is found in our commitment to serve a diverse customer population with diverse teams of teammates. '
Over 100 years of success is an indication of the stability our workforce enjoys.
Responsibilities
Principal Duties:
Statistical Analysis / Data Science (65%):
Builds new predictive/descriptive models, evaluate current effectiveness of old models, design experiments/campaigns and analyze the resulting data, perform post-hoc (correlational) analysis when experimental designs (causational analyses) are not feasible and explains the limitations of the results, advises analytical data programmers on quality and infrastructure needs/challenges, etc.
Majority of time spent coding is on creation of new code
Translating analytical results, presenting to C-Level executives and below, and making recommendations for improvements in the areas of application
Creation of extremely advanced technical documents for auditors and government agencies as appropriate
Identify data quality issues and drive their resolution with whoever is appropriate for the given issue
Creates advanced transformations independently
Formally train less experienced Analysts.
Develop formal training materials.
Apply skills learned in previous roles to the business using SAS with great autonomy.
Mentors and provides technical supervision to Senior level analysts
Collaborates strategically with executives outside of Analytics
Focused primarily on large scale high-value projects that may also have legal sensitivity or scrutiny
Applies advanced techniques for handling interactions independently
Technical Supervision / Training / Development (25%)
Technically supervising, mentoring, coaching, and training all less senior analysts on advanced statistical techniques and how to apply them to business problems
Organization Analytics Strategy / Direction (10%)
Assist Associate Director and Director of Analytics in the identification and quantification of applications of analytics and development of project charters and plans as appropriate
Nesco Resource is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status, or any other legally protected characteristics with respect to employment opportunities.


 

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