{"schemaVersion":"jobsearcher.job.v1","id":"378aba719b3d8c544b237ea3","url":"https://jobsearcher.com/jobs/378aba719b3d8c544b237ea3","canonicalUrl":"https://jobsearcher.com/jobs/378aba719b3d8c544b237ea3","title":"Data Scientist (Python, SQL, Spark, Databricks, BigQuery, MongoDB, Tableau)","description":"Job description\nNOTE: W2 only. No C2C, please.\nJOB DETAILS\nAs a Data Scientist, you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions.\nOur team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems.\nWhat makes candidates stand-out are skills such as:\nAdditional experience with other languages such as R, JavaScript, Scala, etc.\nExamples of professional work such as publications, patents, a portfolio of relevant project-work, etc.\nFamiliarity with Distributed Datasets\nExperienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.\nExperience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.\nExperience with model validation, measuring model bias, measuring model drift, etc.\nExperience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.\nAbility to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences\nDuties include:\nCommunicate with impact your findings and methodologies to stakeholders with a variety of backgrounds\nWork with high resolution machine and agronomic data in the development and testing of predictive models\nDevelop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data\nDefine, quantify, and analyze Key Performance Indicators that define successful customer outcomes\nWork closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics\nRelevant skills include:\nDemonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python\nDemonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.\nExperience with Visualization tools such as Tableau, PowerBI, DataStudio, etc.\nExperience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.\nExperience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.\nExcellent communication skills.\nAble to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.\nJob Type: Full-time\nPay: $54.00 - $58.00 per hour\nSchedule:\nMonday to Friday\nWork Location: In person","company":"Simplelogix","rawCompany":"simplelogix","city":"Urbandale","state":"IA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T11:27:34.169Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist (Python, SQL, Spark, Databricks, BigQuery, MongoDB, Tableau)","description":"Job description\nNOTE: W2 only. No C2C, please.\nJOB DETAILS\nAs a Data Scientist, you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions.\nOur team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems.\nWhat makes candidates stand-out are skills such as:\nAdditional experience with other languages such as R, JavaScript, Scala, etc.\nExamples of professional work such as publications, patents, a portfolio of relevant project-work, etc.\nFamiliarity with Distributed Datasets\nExperienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.\nExperience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.\nExperience with model validation, measuring model bias, measuring model drift, etc.\nExperience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.\nAbility to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences\nDuties include:\nCommunicate with impact your findings and methodologies to stakeholders with a variety of backgrounds\nWork with high resolution machine and agronomic data in the development and testing of predictive models\nDevelop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data\nDefine, quantify, and analyze Key Performance Indicators that define successful customer outcomes\nWork closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics\nRelevant skills include:\nDemonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python\nDemonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.\nExperience with Visualization tools such as Tableau, PowerBI, DataStudio, etc.\nExperience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.\nExperience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.\nExcellent communication skills.\nAble to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.\nJob Type: Full-time\nPay: $54.00 - $58.00 per hour\nSchedule:\nMonday to Friday\nWork Location: In person","datePosted":"2026-08-06T11:27:34.169Z","dateModified":"2026-08-06T11:27:34.169Z","hiringOrganization":{"@type":"Organization","name":"Simplelogix","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Urbandale","addressRegion":"IA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"378aba719b3d8c544b237ea3"},"url":"https://jobsearcher.com/jobs/378aba719b3d8c544b237ea3"}}