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You will be responsible for providing data integration and analysis services working principally with Microsoft SQL Server, though may work across a number of technologies and in several other disciplines including data modeling and data science, working with data lake-based solutions.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI.Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. Analyze sparse microbiome data and large-dimensional data from genomes, metagenomes and metatranscriptomes.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Apply data science and visual programming trade-craft to support and streamline analysis tasks as identified by key stakeholders and the government. Conduct extensive collections and analytic modeling, data processing, data mining, and visualization.
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Our federal clients include the U.S. Departments of Agriculture, Education, Health and Human Services, Housing and Urban Development, Labor, the Treasury, and the National Science Foundation. Master's degree in education, Rehabilitation Counseling, Sociology, Political Science, Economics, Public Policy, or a related field.
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BASIC QUALIFICATIONS Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Monitor screening timeliness data for all screening tools (e.g. PHQ-9, ABI, KIPS, CCI, ASQ-3, ASQ-SE) and provide detailed reports to HFA and PAT Managers and DC Health staff. Degree in social science research/public health or evaluation field.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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At least 4 years (Bachelor of Science) or 2 years (Master of Science) of hands-on experience performing proteomics or metabolomics sample preparation, operating, and/or maintaining LC-MS/MS systems.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, and statistics.
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data science jobs Company: Iqvia Holdings Inc in Mclean, VA
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Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
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A Potential TikTok Ban?!
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.