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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- 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.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Data Engineer, Senior. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Cancer data quality measures reporting to the cancer registry manager. Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Extensive knowledge in Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.) As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Please submit your resume to our network at (apply to the Data Scientist (Remote) role). Data Scientist (Remote) Skilled in MySQL, Big Data, Hive-Hadoop, Scala, PyTorch, Spark, TensorFlow, and data modeling.
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As a People Analytics Senior Consultant, you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Partner with senior leadership across Get Well to identify business challenges and opportunities, and translate them into actionable, integrated, data-driven solutions. In this newly established leadership role within our Product team, Get Well is seeking a VP, Data & Analytics who will be responsible for leading the data strategy across our portfolio of products.
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Uses multiple contracting and financial systems (COMPASS, GFEBS, DEAMS, CRIS, EDA) to extract, validate, and reconcile data. This is a full-time position with our company and the project is with DHA. This is an onsite role in Washington DC. Deadline to submit your application: August 15th, 2024 Summary: Job Summary: Works independently on NCR-WRNMMC wide project supporting all general COMPASS task categories—data extraction, data entry, analyses, cleansing, correction, 2nd level quality control, Workflow and HCM data processing, internal/external training, and reporting.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Significant agile project management experience, as well as strong fundamentals in advanced analytics, data integration, and visualization leading agile projects.
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Understand basics of Data Engineering work and contexts of the data product development, accordingly customize the approach/process/artifacts to meet the delivery need of the team. Basic understanding of the Data Engineering and how it adds value to the organization.
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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.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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data job Title: senior manager Company: Dice in Mclean, VA
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