**This is an onsite job, and would require relocation to Phoenix Arizona.
PRINCIPAL RESPONSIBILITIES:
Researches and resolves data inquiries and requests.
Provides insights and serves as a subject matter expert for department data.
Documents requirements for data science and reporting projects.
Supports the development of standard data analyses, reports, and dashboards.
Collaborates with other teams to gather data and build relationships
Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.
Transforms data into actionable insights and recommendations.
Designs experiments and interprets the results to draw detailed and actionable conclusions.
Builds statistical models to enhance understanding of trends and predicts future performance.
Finds new opportunities and novel applications for our core internal data.
Translates and champions our Machine Learning capabilities for non-technical audiences.
Participates in end-to-end data science project lifecycle data mining and exploration, model development and evaluation, solution deployment in production, measurement and tracking.
Designs, validates and evaluates solutions using R, Python, SQL and other programming tools.
MINIMUM QUALIFICATIONS:
Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
3 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.
Additional Job Description Additional Job Description
ROLE HIGHLIGHTS:
Experience must reflect pricing optimization and churn predictions.
IMPACT Technology Recruiting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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