Data Science Engineer

Profile

\u003cp\u003e\u003cstrong\u003eABOUT LITTLER\u003c/strong\u003e\u003c/p\u003e
\u003cp\u003eAt Littler, we understand that workplace issues can\u0026rsquo;t wait. With access to more than 1,500 employment attorneys in over 80 offices around the world, our clients don\u0026rsquo;t have to. We aim to go beyond best practices, creating solutions that help clients navigate a complex business world. With deep experience and resources that are local, everywhere, a diverse team of the brightest minds, and powerful proprietary technology, we deliver groundbreaking innovation that prepares employers for what\u0026rsquo;s happening today, and what\u0026rsquo;s likely to happen tomorrow. Because at Littler, we\u0026rsquo;re fueled by ingenuity and inspired by you.\u003c/p\u003e
\u003cp style=\u0022text-align: center;\u0022\u003e\u003cstrong\u003eDATA SCIENCE ENGINEER\u003c/strong\u003e\u003c/p\u003e
\u003cp style=\u0022text-align: center;\u0022\u003e\u003cstrong\u003e(This position is not available to be performed in Colorado)\u003c/strong\u003e\u003c/p\u003e
\u003cp\u003eWe are looking for a motivated Data Engineer to join our growing Data Science Team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data warehousing from various sources. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data science initiatives/products and support the data plumbing that feeds into our ML systems.\u003c/p\u003e
\u003cp\u003e\u003cstrong\u003eKEY ACCOUNTABILITIES AND RESPONSIBILITIES:\u003c/strong\u003e\u003c/p\u003e
\u003cul\u003e
\u003cli\u003eAcquire, organize, store, and analyze raw data\u003c/li\u003e
\u003cli\u003eCreate and maintain optimal data pipeline architecture\u003c/li\u003e
\u003cli\u003eCollaborate with Data Scientists and support data infrastructure needs including ML data pipelines\u003c/li\u003e
\u003cli\u003eIdentify, design, and implement internal process improvements including process automation, optimizations, and improvements in scalability\u003c/li\u003e
\u003cli\u003eSupport and expand existing infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies\u003c/li\u003e
\u003cli\u003eBuild and maintain monitoring utilities and metrics to ensure data quality and operation of production systems\u003c/li\u003e
\u003cli\u003eSupport occasional ad hoc SQL queries\u003c/li\u003e
\u003cli\u003ePerform such other/additional duties as may from time to time be assigned.\u003c/li\u003e
\u003c/ul\u003e
\u003cp\u003e\u003cstrong\u003eQUALIFICATIONS AND COMPENTENCIES REQUIRED:\u003c/strong\u003e\u003c/p\u003e
\u003cul\u003e
\u003cli\u003eAdvanced working SQL knowledge and experience working with relational databases\u003c/li\u003e
\u003cli\u003eExperience building and optimizing big data pipelines, architectures, and data sets\u003c/li\u003e
\u003cli\u003eStrong analytic skills related to working with unstructured and semi-structured datasets\u003c/li\u003e
\u003cli\u003eA successful history of manipulating, processing and extracting value from large datasets\u003c/li\u003e
\u003cli\u003eExperience with building dashboards (e.g. PowerBI)\u003c/li\u003e
\u003cli\u003eExperience with workflow management tools\u003c/li\u003e
\u003cli\u003eWorking knowledge of ML models and data requirements\u003c/li\u003e
\u003cli\u003eAzure services and DevOps experience a plus\u003c/li\u003e
\u003cli\u003ePerforms work under minimal supervision\u003c/li\u003e
\u003cli\u003eExperience with large scale NLP a plus\u003c/li\u003e
\u003cli\u003eExperience with data anonymization technologies a plus\u0026nbsp;\u003c/li\u003e
\u003cli\u003e2 years\u0027 experience with Microsoft SQL Server, SSIS/ETL, and scripting stored procedures\u003c/li\u003e
\u003cli\u003e2 years experience with Python or R\u003c/li\u003e
\u003c/ul\u003e
\u003cp\u003e\u003cstrong\u003eEDUCATION:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e
\u003cp\u003eBachelor\u0026rsquo;s degree in Computer Science or related field. Master\u0026rsquo;s degree in quantitative field a plus.\u003c/p\u003e,EqualOpportunityEmployerDescription:null,PayTransparencyPolicyStatement:null,MatchScore:1.0,HasApplied:false,ApplicationJobBoardName:null,ApplicationJobBoardId:null,DateApplied:null,Salaried:true,CompensationAmount:null,PublishingStatus:1,Links:[],BehaviorCriteria:[],MotivationCriteria:[],EducationCriteria:[],LicenseAndCertificationCriteria:[],SkillCriteria:[],WorkExperienceCriteria:[],JobBoardMemberships:[{JobBoardId:2e3d7edd-7174-48cf-a542-539119bbcf9f,PublishedInternal:true,PublishedExternal:false,ExternalPostedDate:null,InternalPostedDate:2021-04-22T23:28:01.107Z},{JobBoardId:631c7b72-f9c7-4adf-9109-9967ce8334e4,PublishedInternal:true,PublishedExternal:true,ExternalPostedDate:2021-04-22T23:28:01.107Z,InternalPostedDate:2021-04-22T23:28:01.107Z}],AssessmentUri:null,AssessmentStatus:null,OpportunityIsClosed:false,TravelRequired:null,TravelDescription:null,SupervisorName:null,Assessments:[],ApplicationId:null,CompensationAnnualMinimum:null,CompensationAnnualMaximum:null,CompensationHourlyMinimum:null,CompensationHourlyMaximum:null,CompensationCurrency:null});

Company info

Littler Mendelson P.C
Website : https://www.littler.com/