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Proficiency in programming (e.g., R, Python, or Linux/UNIX operating systems) for data science (data pre-processing, analyses, and visualization) Expertise in computational methods for NGS data analysis and interpretation (e.g., WGS, read alignment, variant calling.
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Exceptional data visualization skills, with proficiency in using visualization tools (e.g., Plotly, Matplotlib, Seaborn) and business intelligence platforms (e.g., Tableau, Power BI) to translate complex data insights into accessible visual formats for diverse audiences.
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Utilize Data Visualization Software: Collaborate with UI/UX designers for scientific communications, employing data visualization tools to enhance user experience and inform decision-making.
$64,000 - $91,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience in the handling and management of large and/or sensitivedatasets;and the development of data visualization and synthesis products. The DataScientistwill lead the delivery of salient and credible data analyses and products to inform evidence-based strategies for climate change mitigation.
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Knowledge of data engineering technologies and platforms, such as SQL, Python, Spark, Kafka, Snowflake, DBT, AWS, Azure, or GCP. As an AVP Enterprise Data Engineering, you will set the direction and vision for the technologies that support various business units at Pacific Life. You will manage the architecture, design, development, and implementation of data solutions that satisfy the business requirements and fit the data strategy.
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The Business Analyst - PD is responsible for gathering requirements for Cryoport Business Intelligence solutions (ETL, Data Warehousing and Visualization) and assisting the development team to implement stronger business intelligence capabilities for Cryoport Systems.
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You intimately understand the data lifecycle, data governance, data architecture and integration, master data management, data migration, and business intelligence. Experience with handling multiple data workstreams on a project, for example: data governance, data migration, master data management, data quality.
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As a primary responsibility, uses a keyboard or data entry terminal to enter alpha and numeric data. The County of Orange has exciting job opportunities for motivated, driven and detail oriented Data Entry Technicians.
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Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.
$168,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll balance your field work with some time spent in the office working on data interpretation and visualization, quantitative modeling, report writing and coordinating logistics for field activities.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques. Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development.
$143,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expertise in building secure and scalable data ingestion, ETL/ELT solutions using Azure Databricks, Azure Data Factory, or similar tools. Nearest Major Market:Irvine CaliforniaNearest Secondary Market:Los Angeles Job Segment: Machinist, Information Technology, IT Architecture, Computer Science, Data Warehouse, Manufacturing, Technology.
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We’re actively seeking a talented Investment Operations Data Analyst to join our Investment Operations team in Newport Beach, CA. This role can be on-site or potentially 100% remote. As a Investment Operations Data Analyst, you’ll play a key role in Pacific Life’s growth and long-term success by optimizing our use of investment data.
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Works with data visualization specialists to facilitate technical design of complex data sourcing, transformation and aggregation logic ensuring business analytics requirements are met.
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Familiarity with data integration and ETL processes such as dbt, Matillion, Fivetran or Talend. Exposure to visualization tools such as Power BI, Tableau or Looker. We have complex data pipelines, large macroeconomic and market-based data sets, as well as our proprietary in-house data to develop with.
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data visualization jobs Title: data analyst Company: Kantar in Irvine, CA
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