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Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.
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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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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADEMIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modeling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Utilize programming languages like Scala, Python and Open-Source RDBMS and NoSQL databases and Cloud based data warehousing services such as ADLS/Cosmos etc. Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools such as databricks.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop and maintain processes for extracting, cleaning, and organizing data for analysis including implementing a moderate amount of code (Python, R, SQL, some limited JavaScript) to enable completion of repetitive and complicated tasks and handle large amounts of data.
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Proficiency in SQL, SAS, R, Python or Spark. This role resides within the Forecast Modeling team that supports risk modeling for Finance, Treasury, and Operational Risk. Models are used for various purposes such as CCAR, CECL, Capital, Asset/Liability Management, Loss Forecasting, and financial planning.
$207,900 - $431,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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QinetiQ is looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Proficiency in the use of analytical, statistical and econometric software packages such as STATA, Eviews, R, TSP, SPSS, Matlab and SAS.Preferred:Experience working with finance, budget, people analytics, macroeconomic data and writing macroeconomic research reports.
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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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Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB. As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of professionals who use data science to solve important business problems.
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Strong programming skills in Python, R, SQL, and React. Utilize programming languages such as Python, R, and SQL to develop and deploy NLP and AI models. As a Data Analytics Engineer, you will be responsible for designing, developing, and implementing natural language processing (NLP) and AI-based solutions to enhance our products and services.
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python r data jobs Title: data scientist sr Company: Inc in Arlington, VA
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Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
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"Nothing we do is more important than hiring and developing people."
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
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People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
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How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.