ObjectiveThe Machine Learning Engineer is a critical function within the Strategic Analytics group. This group is project based and performs data acquisition and analytic projects at an accelerated pace with life cycles typically spanning 3 to 9 months. Internal data stores include Big Query, Oracle data warehouse, and Essbase. External data may be sourced from Bureau of Labor Statistics, Census Bureau, and others. External data may be gathered via APIs and stored internally. You know how to work quickly and accurately, using the best solutions to analyze mass data sets, and you know how to get results. The ideal candidate has strong critical thinking skills to successfully operate in a matrix environment whose success depends upon relationship building. Because Strategic Analytics is project based and a wide range of topics are addressed the incumbent must be highly adaptable. This position reports to Sr Director of Strategic Analytics. This position is responsible for the rapid development, testing, modification to, and maintenance of databases and data pipelines. Duties and Responsibilities Gather and process raw data at scaleBuild the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sourcesSelection of internal and external datasets to examine for acquisition to drive value in the organizationModel selection, training, tuning, and performance optimization to solve a variety of business problemsDevelop appropriate automated tests, environments, and infrastructureImplement machine learning systems and validate them through statistical analysis of experiments designed to test their efficacyDesign applications, APIs and machine learning pipelines to deliver solutions utilizing ML modelsPresent findings to key stakeholders, translating highly technical details for a potentially non-technical audienceVisualization of results such that their meaning is easy to intuit for end users, and that could be incorporated into an app experienceRead, extract, transform, stage and load data to selected tools and frameworks as required and requested. Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.Background EducationMin/Preferred Education Level DescriptionMinimum 4 Year / Bachelors Degree Bachelor's Degree in Computer Science, Computer Engineering, Management Information Systems, or relateWork ExperienceMinimum Years of Experience Maximum Years of Experience Comments7 Relevant work experienceExperience in marketing analyticsTableauSpatial analysisExperience with machine learning toolkits and autoML such as DataRobot, H2O, or SparkMLA willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job doneKnowledge, Skills, and AbilitiesWho you arePassionate with an aptitude to quickly learn new and emerging technologiesSelf-starter willing to jump into difficult situationsInsanely curious, analytical, and loves solving problemsAgile and adaptableStrong verbal and written communication skills to clearly communicate complex informationAble to obtain results from cross-functional teamsYou find satisfaction in a job well done and thrive on solving head-scratching problemsProficient using Google mail, calendaring and shared drivesJob SpecificationsCore CompetenciesExpert level proficiency with Python and libraries for machine learning such as scikit-learn and pandasTalend or KapowPredictive modellingCloud platforms such BigQuery and SnowflakeSQLKnowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.Deep knowledge of data mining, machine learning, natural language processing, or information retrieval.Functional CompetenciesExperience working closely with and supporting analytic, statistical, or data science functionsEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please just let us know.