Job Details

Director Data Science and Analytics at Carrington in Boise, Idaho, United States Job Description Come join our amazing team and work from home The Data Science and Analytics Director will build and influences the future of data science at the Carrington family of companies, acts as sophisticated analytics leader and advisor to the business. Responsible for developing and leading the data analytics function to identify, structure, and help develop strategic initiatives for the company. Responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Advises senior management on the potential impact of new and existing data-driven initiatives. Perform all duties in accordance with the company's policies and procedures, all US state and federal laws and regulations, wherein the company operates. The target pay range for this position is $150,000.00-$175,000.00 Annually + Annual Bonus. What you'll do: + Provide management visibility into data-driven learnings that reveal KPI's and influence strategic direction for the company's lines of business. + Advises senior management on the potential impact of new and existing data-driven initiatives. + Computes, analyzes, and interprets complex statistical data models, working with large data sets and advanced techniques; interprets findings and makes recommendations to top management. + Identifies, scopes, and manages sophisticated analytical projects in collaboration with business leaders, translating results to non-technical business executives. + Develops insights into consumer behavior using predictive analytics and accurately forecast behavior to drive customer retention and other key customer metrics. + Champions and manages efforts to deliver business insights via automated solutions using machine learning, simulation, and optimization. + Applies a broad variety of statistical concepts (e.g., regressions, A/B tests, clustering, probability, correlation) to business problems and adapts/combines approaches to identify trends. + Identifies and works with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance. + Collaborates with cross-functional teams to understand challenging analytical questions and identifies opportunities for leveraging company data to drive business solutions. + Provide in-dept To view full details and how to apply, please login or create a Job Seeker account