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The Senior Google Looker Developer will collaborate with multiple teams to maintain and develop new features/functionality to support the business needs, with a strong emphasis on SQL, Python/R, machine learning, Snowflake, data and systems analysis skills, and integrating diverse data sources.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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Prior experience with Macro/VBA, R, Python, Intex, Moody’s Analytics, and other industry software, preferred. Prior experience with Macro/VBA, R, Python, Intex, Moody’s Analytics, and other industry software, preferred.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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CFA, FRM, QRM, ASA or other valuation industry credentials, preferred. Experience in financial reporting valuation and appraisal review, required. Experience with earnouts, convertible debt, warrants, Total Shareholder Return (TSR) and Employee Stock Option (ESO) grants, private company equity securities, hybrid instruments, or structured products, preferred.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Acts as Career Advisor to VCMA Staff, as appropriate. Bachelor’s degree, required; focus in Finance, Financial Engineering, Actuarial Science, Risk Management, Mathematics, Computer Science, Statistics, Economics, preferred.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Programming expertise using SAS, Python, R, Julia, Stata, SQL, or a similar statistical language. The ideal candidate will work in languages such as Python and SQL, or statistical programming languages.
$130,000 a yearFull-timeRemoteExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Design, build, and deploy data engineering pipelines that extracts, transforms raw data into analytics base tables to support downstream machine learning models using languages such as Python, R and SQL.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in Stata, Python, R, SQL, SAS, Excel, ArcGIS/ArcPy. Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R) that clean, coordinate and analyze large volumes of data related to underwriting, pricing, and redlining analyses.
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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Data science tools/languages R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. Object-oriented/scripting languages Python, Java, C. Data science tools/languages R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
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Preferred Knowledge, Skills, and Abilities Candidates with skills in data management and analysis (R, Python), computer science (R, Python, Linux) and statistical genetics (GWAS, pheWAS, WGS, etc.
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AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps. Experience in crafting and implementing data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure, GCP.
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Proficiency in using various data analysis and visualization tools and software, such as Excel, SQL, R, Python, Power BI, Tableau, etc. Performing descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Proficiency in data analytics tools and software (e.g., SQL, Python, R, Tableau, Power BI). Through direct personal performance, and in collaboration with the Cost Engineer Supervisor, you will analyze, maintain, and improve engineering and construction project controls policies and procedures, cost controls, and reporting in support of the planning and management of the Capital Construction Program (CCP), Capital Operating and Maintenance Investment Program (COMIP), Dulles Corridor Capital Improvement Program (CIP) and Dulles Corridor Repair and Rehabilitation (R&R) Program.
$163,829 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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