Key is ability to create and execute Python code to get results! You should be an expert on the popular ML models of today. You must know the statistical algorithms to apply the model. If, for example, an optimization problem, you must know optimization. It's part of marketing, a solid understanding of such concepts as pricing, capacity, utilization and advertisement ROI would be a plus. In summary, this position performs data science functions in providing insights into customer behavior to enable decision making relating to promotions, events and marketing programs for all brands both in stores and online. Job DutiesLead data science projects independently while collaborating with team members and multi-organizational stakeholders.Perform hands-on advanced analysis in marketing science and business analytics on big data to promote growth and business developmentLeverage state-of-the-art data processing tools and/or analytical methodologies to drive improved decisionsSupport the team in development and/or implement various types of predictive models, natural language processing, segmentation strategies, optimization algorithms, and data mining analyses with a targeted result of increasing revenue Job Requirements7+ year's experience in processing and performing multi-faceted analysis with customer/consumer behavior data7+ year's experience in developing or enhancing models applying machine learning and artificial intelligence algorithms, statistical analysis, and natural language processingStrong coding skills in SQL; and Python, R, Julia, or Scala.Experience in working with distributed computing i.e. Hive, Apache SparkExperience in working with Unix/Linux environmentKnowledge of descriptive analytics and data visualizationExceptional standards for quality and strong attention to detailExperience with full life cycle agile application development in supporting analytic requirementAbility to manage multiple projects and on-demand business requests simultaneously
RM Dayton Analytics, Ltd. Co. - Aligning Tomorrows Knowledge Worker
Must be legally authorized to work in country of employment without sponsorship for employment visa status.
Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race. color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information or any other consideration prohibited by law or contract.