Data Scientist
Vacancy expired!
• Develop sophisticated advanced analytics models; including creating, validating, analyzing and explaining the data used for model development.• Assess the effectiveness and accuracy of new data sources and analytics techniques.• Develop processes to extract, clean, merge, transform and compile data from various data sources, including relational database, flat files, and unstructured data.• Perform time-to-event analysis and testing to identify significant variables and trends in product reliability.• Be a leading expert and organizational resource on developing and evaluating advanced analytics.• Integral leader within the Advanced Analytics Center of Excellence; working with stakeholders from your division to develop new analytics solutions, identify new data useful for analytics projects, and support analytics best practices.• Introduce improvements to increase the speed, accuracy and efficiency of advanced analytics across the organization.• Provide accurate, relevant and meaningful ad-hoc analysis to management to support strategic and tactical decision-making.• Create and present materials on data projects, data science architecture, and analytics strategies.
Qualifications & SkillsRequired Qualifications:• Master’s degree in Statistics, Mathematics, Analytics, Computer Science, Engineering or related field.• Minimum five years of applicable job experience, with a proven ability to develop advanced analytics models.• Significant experience with, or deep understanding of, statistical techniques, modeling, and machine learning.• Significant experience with, or deep understanding of R statistical programming language and building efficient SQL queries.• Substantive experience with programmatically extracting, preparing, and merging data from multiple sources, including relational databases (SQL Server, Snowflake) and flat files (CSV).• Experience with, or understanding of time-to-event modeling techniques for reliability/survivability analysis.• Experience with, or understanding of stochastic modeling techniques.• Must be a highly-motivated self-starter and self-directed learner with a creative mind, high attention to detail and a solution-oriented outlook.• Candidate must demonstrate strong analytical skills, excellent general business acumen, with the ability to concisely and clearly communicate complex topics.• Ability to maintain balance between solid “pragmatism” and “scientific rigor” to meet the needs of a dynamic business.• Proficiency with Microsoft Office suite. Preferred Qualifications:• PhD or DBA in Data Science, Computer Science, or related field.• Demonstrable in-depth understanding of data structures and ETL processes (including SSIS).• Familiarity with cloud storage and compute on Azure or AWS.• Experience with working with big data (Scala, Spark, Pig).• Experience with container deployments (Docker, Kubernetes, ECS).• Experience with the operationalization and maintenance of analytics APIs using Plumber, Flask, Swagger and similar.Vacancy expired!