{"schemaVersion":"jobsearcher.job.v1","id":"2e7cdabfd0211bf6d2b20274","url":"https://jobsearcher.com/jobs/2e7cdabfd0211bf6d2b20274","canonicalUrl":"https://jobsearcher.com/jobs/2e7cdabfd0211bf6d2b20274","title":"Data Science (WFH)","description":"About the RoleIDR, Inc. is seeking a Data Science Analyst to join one of its clients in a fully remote capacity. This role will lead the development and optimization of an end-to-end Natural Language Processing (NLP) pipeline for analyzing open-text comments stored in BigQuery datasets.The successful candidate will use Python and Jupyter Notebooks with Google Cloud Platform (GCP), particularly Vertex AI, to work with Large Language Models (LLMs), perform thematic and sentiment analysis, develop topic models, and identify trends. This is a hands-on role suited to someone comfortable owning the NLP pipeline and collaborating with analytics professionals.Key ResponsibilitiesLead the development and optimization of an end-to-end NLP pipeline.Perform thematic analysis, sentiment analysis, topic modeling, and trend analysis.Collaborate with an internal analytics architect to access and prepare datasets.Support seamless dataset integration and analysis.Use Python in Jupyter Notebooks to call LLMs through Vertex AI.Develop and embed prompts for LLM-based analysis.Configure LLM parameters, including temperature.Write LLM-generated results back to BigQuery.Analyze year-over-year sentiment changes and trends.Own the overall NLP pipeline from data preparation through analysis and results.Collaborate with internal team members to support successful project delivery.Required QualificationsIntermediate-to-advanced proficiency in Python.Demonstrated Python experience using Jupyter Notebooks.At least 1 year of hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI.Practical experience calling LLMs from Python/Jupyter Notebooks.Experience setting LLM parameters such as temperature.Experience embedding prompts for LLM-based analysis.Strong technical leadership skills.Ability to own and manage an end-to-end NLP pipeline.Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, or health science, with advanced coursework or equivalent experience.Preferred QualificationsNo additional preferred qualifications are explicitly specified in the original job description.Skills & CompetenciesData ScienceData AnalysisNatural Language Processing (NLP)PythonJupyter NotebooksGoogle Cloud Platform (GCP)Vertex AILarge Language Models (LLMs)Prompt EngineeringBigQuerySentiment AnalysisThematic AnalysisTopic ModelingTrend AnalysisYear-over-Year AnalysisData PreparationDataset IntegrationTechnical LeadershipEnd-to-End Pipeline DevelopmentAnalytical Problem-SolvingEducation & ExperienceEducationBachelor’s degree in a relevant field such as:EngineeringMathematicsComputer ScienceHealth ScienceAdvanced coursework or equivalent experience is also specified.ExperienceAt least 1 year of hands-on Google Cloud Platform experience, specifically with Vertex AI.Intermediate-to-advanced Python proficiency.Experience using Python in Jupyter Notebooks.Practical experience calling LLMs from Python/Jupyter.Experience with prompts and LLM parameters such as temperature.Experience developing or owning NLP pipelines.Work Arrangement & ScheduleRemoteLocation: La Crosse, WI, USFully remote positionEmployment type: Full-timeContract positionContract end date stated in the source: December 31, 2025A short extension may be possible if the project is nearing completion.Specific weekly hours and weekend requirements are not stated in the original job description.Note: The source job listing is dated August 27, 2026, but the contract end date provided in the original description is December 31, 2025. This date is preserved as stated rather than being changed or assumed.Compensation & BenefitsCompetitive compensation package.Full benefits, including:MedicalVisionDentalLife insuranceEmployee Stock Ownership Program.Opportunity to work with an industry-leading organization.Team-oriented work culture.Compliance / Additional InformationIDR, Inc. is an IT Services and IT Consulting company with more than 25 years of industry experience across four major markets. The source also notes recognition through ClearlyRated’s Best of Staffing Client and Talent Award for 12 consecutive years.","company":"Torentify","rawCompany":"torentify","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-31T08:47:13.325Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science (WFH)","description":"About the RoleIDR, Inc. is seeking a Data Science Analyst to join one of its clients in a fully remote capacity. This role will lead the development and optimization of an end-to-end Natural Language Processing (NLP) pipeline for analyzing open-text comments stored in BigQuery datasets.The successful candidate will use Python and Jupyter Notebooks with Google Cloud Platform (GCP), particularly Vertex AI, to work with Large Language Models (LLMs), perform thematic and sentiment analysis, develop topic models, and identify trends. This is a hands-on role suited to someone comfortable owning the NLP pipeline and collaborating with analytics professionals.Key ResponsibilitiesLead the development and optimization of an end-to-end NLP pipeline.Perform thematic analysis, sentiment analysis, topic modeling, and trend analysis.Collaborate with an internal analytics architect to access and prepare datasets.Support seamless dataset integration and analysis.Use Python in Jupyter Notebooks to call LLMs through Vertex AI.Develop and embed prompts for LLM-based analysis.Configure LLM parameters, including temperature.Write LLM-generated results back to BigQuery.Analyze year-over-year sentiment changes and trends.Own the overall NLP pipeline from data preparation through analysis and results.Collaborate with internal team members to support successful project delivery.Required QualificationsIntermediate-to-advanced proficiency in Python.Demonstrated Python experience using Jupyter Notebooks.At least 1 year of hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI.Practical experience calling LLMs from Python/Jupyter Notebooks.Experience setting LLM parameters such as temperature.Experience embedding prompts for LLM-based analysis.Strong technical leadership skills.Ability to own and manage an end-to-end NLP pipeline.Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, or health science, with advanced coursework or equivalent experience.Preferred QualificationsNo additional preferred qualifications are explicitly specified in the original job description.Skills & CompetenciesData ScienceData AnalysisNatural Language Processing (NLP)PythonJupyter NotebooksGoogle Cloud Platform (GCP)Vertex AILarge Language Models (LLMs)Prompt EngineeringBigQuerySentiment AnalysisThematic AnalysisTopic ModelingTrend AnalysisYear-over-Year AnalysisData PreparationDataset IntegrationTechnical LeadershipEnd-to-End Pipeline DevelopmentAnalytical Problem-SolvingEducation & ExperienceEducationBachelor’s degree in a relevant field such as:EngineeringMathematicsComputer ScienceHealth ScienceAdvanced coursework or equivalent experience is also specified.ExperienceAt least 1 year of hands-on Google Cloud Platform experience, specifically with Vertex AI.Intermediate-to-advanced Python proficiency.Experience using Python in Jupyter Notebooks.Practical experience calling LLMs from Python/Jupyter.Experience with prompts and LLM parameters such as temperature.Experience developing or owning NLP pipelines.Work Arrangement & ScheduleRemoteLocation: La Crosse, WI, USFully remote positionEmployment type: Full-timeContract positionContract end date stated in the source: December 31, 2025A short extension may be possible if the project is nearing completion.Specific weekly hours and weekend requirements are not stated in the original job description.Note: The source job listing is dated August 27, 2026, but the contract end date provided in the original description is December 31, 2025. This date is preserved as stated rather than being changed or assumed.Compensation & BenefitsCompetitive compensation package.Full benefits, including:MedicalVisionDentalLife insuranceEmployee Stock Ownership Program.Opportunity to work with an industry-leading organization.Team-oriented work culture.Compliance / Additional InformationIDR, Inc. is an IT Services and IT Consulting company with more than 25 years of industry experience across four major markets. The source also notes recognition through ClearlyRated’s Best of Staffing Client and Talent Award for 12 consecutive years.","datePosted":"2026-08-31T08:47:13.325Z","dateModified":"2026-08-31T08:47:13.325Z","hiringOrganization":{"@type":"Organization","name":"Torentify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e7cdabfd0211bf6d2b20274"},"url":"https://jobsearcher.com/jobs/2e7cdabfd0211bf6d2b20274"}}