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Junior Decommissioning & Dismantling Engineer

posted by: spj_bot

Within the Decommissioning and Dismantling (D&D) discipline, you will participate in core D&D engineering tasks and activities, ranging from decommissioning planning, design and waste handling studies to dismantling, demolition and delicensing tasks.

The four core pillars of the D&D disciplines are:

  • Retrievals
  • POCO
  • Investigations and Characterisations
  • Dismantling and Demolition

Requirements

You will be responsible for delivering innovative engineering solutions to decommissioning challenges both across the UK and in an international setting.

Accountabilities

As a Decommissioning and Dismantling Engineer, you will be involved in a variety of specialist tasks. This could include:

Job Skills

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HSO International - D365 CE & Power Platform (Technical) Solution Architect

posted by: spj_bot

Position

International Dynamics 365 CE & Power Platform (Technical) Solution Architect

What is your goal?

To excel as a leading international Dynamics 365 CE & Power Platform (Technical) Solution Architect by leveraging technical expertise and innovative solutions.

Work on Dynamics 365 CE & Power Platform projects across the globe!

Are you looking for a job in which you develop yourself quickly and immediately receive a lot of responsibility? Does the combination of business processes and Microsoft technology appeal to you? Take a next step in your career path!

Personal development

As a CE & Power Platform (Technical) Solution Architect, you will be in charge of your own career and personal development with the support of our organization, working side by side with the customers, making a difference. You will be working with colleagues from different backgrounds in an international environment.

Leading Microsoft Partner

HSO belongs to the elite Microsoft Dynamics Inner Circle, restricted to the top 1% of all Microsoft partners worldwide, and has delivered successful implementations in almost every country in the world. Today the business employs c. 2.500 professionals and maintains a worldwide presence with locations in Europe, North America and Asia.

HSO International

Job Skills

professional power platform microsoft dynamics business solutions appeal business administration personal development validation agile business process requirement analysis architecture designs com production engineering spanish management management business requirement technical solution business technology microsoft partners landscape working environment computer science www en architecture design logistics business transformation analytical skill italian solving problems process design long term positive economics business best practices communication skills experience learning supply chain microsoft platform demonstration skill supply chain management innovative cooperation microsoft dynamic 365 strategic roadmap verbal communication skill pre sales microsoft dynamic information science designs english mobile phone c french microsoft partner presentation CRM german execute
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Senior Data Steward Manager

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Data Steward Manager to join our team. In this role, you will be responsible for overseeing the management and governance of data assets within the organization. You will work closely with cross-functional teams to ensure data quality, compliance, and privacy.

Requirements

• Preference will be given to candidates located in the Plano, TX or Purchase, NY area and are able to be in office on a hybrid schedule

• Support the global Integrated Business Planning (IBP) program to identify and validate data sources to fulfill IBP requirements.

• Identify data sources and partner with business and tech teams to address gaps; check that joining of different data sources generates a meaningful final dataset for a particular use case.

• Perform trend and/or pattern analysis

• Support source to target mapping (STTM)

• Conduct business-facing, data quality rule definition and capture

• Complete data cataloging for assigned assets while adhering to global governance standards

Job Skills

data centric datasets leadership arbitrate governance policies target matrix management validation data flow data management data ingest data informatica business requirement management mapping forecast supervision optimized design dataset governance data quality business logic validating state processes consultants business acumen operational translate EDC integrate business planning manager analytical subject matter career development initiatives digital data source experience researching master data best practices communication skills analytics schedule source datum business planning case cross functional teams consumer package good data stewards advise stewardship data science market research validate data data sources consulting verbal communication skill data governance data steward use cases purchase machine learning source profiling data elements transactional data validations applicable data process data coordinate pattern analysis prioritize data network self starter
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Machine Learning Engineer (Canada)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
  • Creating Scalable Machine Learning systems that are highly performant
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements

Job Skills

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