Data Scientist with Automotive Domain
2 months ago
Job Functions / Responsibilities
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.
Be a leading expert and organizational resource on developing and evaluating advanced analytics.
Develop processes to extract, clean, merge, transform and compile data from various data sources, including relational database, flat files, NoSQL databases and unstructured data.
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 & Skills
Required Qualifications:
Master's degree in Statistics, Mathematics, Analytics, Computer Science or related field; and at least five years of applicable job experience, with a proven ability to develop Advanced Analytics models.
Significant experience with, or deep understanding of, programming (R, Python, Java, or C#).
Significant experience with, or deep understanding of, structured and unstructured data, including relational databases (SQL Server), graph databases (Neo4J), NoSQL databases (MongoDB) and unstructured data.
Experience with, or understanding of, programming (R, Python, Java, or C#).
Experience with working with big data (Scala, Spark, Pig).
Ability to maintain balance between solid "pragmatism" and "scientific rigor" to meet the needs of adynamic business.
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 container deployments (Docker, Kubernetes, ECS).
Experience with the operationalization and maintenance of analytics APIs.
Note: Works in Denton, TX or Renton WA office 3 days a week.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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