Über
Pay Range: $93.14hr - $98.14hr Requirement/Must Have:
1+ years of experience in data modeling. 8+ years of job-related experience, OR 6+ years with a Master's Degree, OR 3+ years with a Doctorate Degree. Strong command of languages like Python, R, and SQL for data manipulation and model development. Strong verbal and written communication skills. Responsibilities:
Leads development of high complexity models and training sets. Provides hands-on execution and implementation of data science models. Translates business analysis needs into well-defined data science problems, selecting appropriate models and algorithms. Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact. Balances tradeoffs among analytics value, model development methods, and design and technologies used to implement data science models. Performs collaborative work on data science problems and mentors junior data scientists. Creates shared process models, business objects, activity diagrams, and process documentation. Manages development of quantitative models and tools. Collaborates with leaders, other LOBs, and business partners on issues, projects, or activities. Develops new or revises complex models to predict business demand trends and various other metrics. Assesses business implications associated with modeling assumptions and advanced data analysis. Partners with leaders to drive high performance in their lines of business. Develops and maintains up-to-date detailed project schedules and work plans. Performs analysis on complex data models requiring customized reports and data. Nice to Have:
PhD in engineering or a related field. Experience with AWS, Azure, cloud computing technologies. Experience designing efficient data science workflows and database architecture. Experience with forecasting, Bayesian networks, and graph analytics. Knowledge of program management theories, concepts, methods, best practices, and techniques. Skills:
Strong statistics experience. Competency in developing and delivering multi-mode communications. Knowledge of statistical theories, concepts, methods, best practices, and analyses. Qualification And Education:
Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or job-related discipline or equivalent experience. Knowledge of relevant programming languages as needed to perform at the job level.
Sprachkenntnisse
- English
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