Position Summary: A Senior Data Scientist is responsible for executing statistical and mathematical analyses to support business decision making. Position Responsibilities may include, but not limited to: * Identify best or most applicable analytical techniques for a given business problem. * Interpret, refine and deploy model results to business users. * Develop accurate, error-free analytical models to address business problems using R, Python, SPSS and other relevant languages / environments. * Utilize complex statistical modeling to make predictions about future outcomes and in multiple scenarios. * Implement models and monitor their outcomes; ensure they conform to data security standards at all times. * Employ data visualization tools where appropriate (ggplot, Tableau, ThinkCell, etc.). * Create processes and tools to monitor and analyze model performance and data accuracy. * Partner with Data/Analytics Translator and IT / BI / Data Management to ensure data used for modelling accurately reflects business reality. * Effectively communicate model approach, outputs and insights to IT and Analytics audiences. * Other projects or duties as assigned. * Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics. * Effectively resolves problems and roadblocks as they occur. * Develops materials to explain project findings. Required Skills and Experience * Bachelor’s Degree in Analytics, Data Science, Operations Research or other related quantitative discipline. * Minimum 5 – 7 years’ experience in advanced analytics, quantitative or computational functions. * At least 3 years in an applied data science role. * Working knowledge of multiple analytical techniques, and the ability to identify best or most applicable techniques for a variety of business problems * Expertise in statistics and mathematical modeling. * Ability to interpret, refine and deploy model results to business users. * Well-versed in predictive and prescriptive analytical techniques (multivariate / non-linear regression, time series, classification methods, Bayesian methods, neural networks, etc.). * Ability to develop accurate, error-free analytical models to address business problems using R, Python, SPSS and other relevant languages / environments. * Ability to employ data visualization tools where appropriate (ggplot, Tableau, PowerBI, ThinkCell, etc.). * Effectively communicate model approach, outputs and insights to IT and Analytics audiences * This position must pass a post-offer background and drug test. * Experience querying databases (SQL, Hive) and working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) * Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions. Preferred Skills and Experience: * Experience with computer development languages (Python, C+, Java, etc.). Physical Demands and Work Environment : Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Due to the nature of our business in regard to such things as delivery schedules, order inputs, selection, and Department of Transportation Hours of Service, overtime, attendance and punctuality are essential job functions. Should an individual in this classification not be able to adhere to this requirement due to a disability, they should contact their Human Resources department to see what, if any, reasonable accommodation may be made. As an Equal Opportunity Employer, Reyes Holdings companies will recruit and select applicants for employment solely on the basis of their qualifications. Our Practices and Procedures, including those relating to wages, benefits, transfers, promotions, terminations and self-development opportunities, will be administered without regard to race, color, religion, sex, sexual orientation and gender identity, age, national origin, disability, or protected veteran status and all other classes protected by the Federal and State Government. Drug Free Employer.
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