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Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership.
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Additional examples include using NASA Earth Science data and tools for improving the monitoring and forecasting of droughts, floods, and improving the characterization of water use and demand.
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Strong background in data analytics and data science, with proficiency in tools such as Python, R, or MATLAB.Experience conducting geospatial predictive analysis and familiarity with GIS software (e.g., ArcGIS, QGIS.
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Master’s Degree in a relevant field, such as public policy, political science, public administration, statistics, economics, or other relevant discipline. This contract will provide support to OJC projects and initiatives relating to policy recommendations, data systems and management, data integrity auditing, data reporting, data collection and statistical analysis, risk management, and other on-demand research, evaluation, and technical assistance.
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Understand a data science use case and the best practices around it (e.g. demand forecasting), understand and be able to edit/augment any supporting python code. This includes familiarity with data extraction from Line of Business systems like Ariba and IBP, manipulation of data for AI in DataSphere/HANA, and creation of front-end applications in tools such as (but not limited or exclusive to) Fiori.
$150Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor's degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline. Responsibilities Responsible for providing advanced data analytics and predictive strategic workforce planning via on-demand, intuitive web-based capabilities and reporting.
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Responsible for providing advanced data analytics and predictive strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
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The Workforce Planning Specialist acts as a subject matter expert conducting full scope of workforce planning and analytics activities including data analytics, workforce trend analysis, forecasting and supply/demand gap analysis to inform workforce strategies.
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Our team boasts unparalleled experience in software and systems engineering, with competencies spanning across a multitude of high-demand areas, from cloud-native technologies and software modernization to embedded engineering, data science, and beyond.
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A consulting and solutions company, Arc Aspicio brings bold ideas to live solves problems by applying our integrated capabilities in strategy, design, data, human capital, behavioral science, and technology.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Bachelor's degree in Computer Science, Information Technology, or a closely related field is preferred. Strong development skills in C, Python, and Assembly (ASM), showcasing your ability to bring theory into practice.
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Utilize tools such as Demand Order Management, WebCSM, Salesforce, Peoplesoft FSA, Master Data Management, and Exacta to enhance data accuracy, streamline performance, and boost operational efficiencies.
$23 - $25 an hourFull-timeRemoteExpandApply NowActive JobUpdated Today
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