Description:Power Platform & Copilot Studio DeveloperPosition Overview:We are seeking a contingent developer to join our AI Business Transformation team. This role will focus on designing, building, and deploying automation solutions using the Microsoft Power Platform suite—including Power Automate, Power Apps, and Copilot Studio Agents. The ideal candidate will help accelerate digital transformation across frontline workflows and internal operations.Responsibilities:Build automation flows with Power Automate to streamline manual processesCreate custom applications using Power Apps to support operational efficiencyDevelop intelligent agents using Copilot Studio for targeted business use casesDesign and implement Generative AI models and systems tailored to business needs.Stay current with emerging trends in AI, machine learning, and data science.Lead end-to-end development of AI solutions—from data ingestion to model deployment.Collaborate with business stakeholders to gather requirements and translate them into scalable solutionsParticipate in periodic reviews and demos to showcase solution impactDocument development processes and maintain solution integrity across environmentsMajor Purpose:Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning. Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. Validates findings using experimental and iterative approaches. This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models. Output is reviewed by higher-level Data Scientists or Analytics Manager for execution.Major Duties:Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business.Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner.Supports the communication of derived insights, especially through appropriate visualization techniques.Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data.Stays abreast of the latest appropriate analytical techniques and recommends these where needed. Explains implementation and usage in business terms.Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the businessQualifications:Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field2+ years of experience with Microsoft Power Platform toolsFamiliarity with Copilot Studio and conversational AI agent designProven experience in developing and deploying AI solutions in a business environment.Strong proficiency in Python, PyTorch, or similar frameworks.Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.Experience with low-code/no-code development environmentsStrong understanding of data flows, API integration, and automation logicExcellent communication and collaboration skillsAbility to work independently and manage multiple prioritiesSkills, Abilities, Knowledge:Quantitative analytical skillsKnowledge of appropriate industryGood interpersonal, negotiation and conflict resolution skills.Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation.Business process knowledge of assigned area(s) and/or function(s).Knowledge of advanced data gathering and analysis techniques, including statistical analysis.Education:Degree in a Math discipline or equivalent experience. - University Degree (4 years or equivalent)Economics - University Degree (4 years or equivalent)Statistics - University Degree (4 years or equivalent)Work Experience:Internal or external industry specific experience in relevant discipline. (1 - 3 years)Data analytics experience. (1 - 3 years)Background or proven experience in mining data for analytics insights. (1 - 3 years)Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner (1 - 3 years)Notes:Travel Requirement: Domestic travel up to 10%VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:Power Platform & Copilot Studio DeveloperPosition Overview:We are seeking a contingent developer to join our AI Business Transformation team. This role will focus on designing, building, and deploying automation solutions using the Microsoft Power Platform suite—including Power Automate, Power Apps, and Copilot Studio Agents. The ideal candidate will help accelerate digital transformation across frontline workflows and internal operations.Responsibilities:Build automation flows with Power Automate to streamline manual processesCreate custom applications using Power Apps to support operational efficiencyDevelop intelligent agents using Copilot Studio for targeted business use casesDesign and implement Generative AI models and systems tailored to business needs.Stay current with emerging trends in AI, machine learning, and data science.Lead end-to-end development of AI solutions—from data ingestion to model deployment.Collaborate with business stakeholders to gather requirements and translate them into scalable solutionsParticipate in periodic reviews and demos to showcase solution impactDocument development processes and maintain solution integrity across environmentsMajor Purpose:Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning. Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. Validates findings using experimental and iterative approaches. This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models. Output is reviewed by higher-level Data Scientists or Analytics Manager for execution.Major Duties:Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business.Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner.Supports the communication of derived insights, especially through appropriate visualization techniques.Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data.Stays abreast of the latest appropriate analytical techniques and recommends these where needed. Explains implementation and usage in business terms.Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the businessQualifications:Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field2+ years of experience with Microsoft Power Platform toolsFamiliarity with Copilot Studio and conversational AI agent designProven experience in developing and deploying AI solutions in a business environment.Strong proficiency in Python, PyTorch, or similar frameworks.Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.Experience with low-code/no-code development environmentsStrong understanding of data flows, API integration, and automation logicExcellent communication and collaboration skillsAbility to work independently and manage multiple prioritiesSkills, Abilities, Knowledge:Quantitative analytical skillsKnowledge of appropriate industryGood interpersonal, negotiation and conflict resolution skills.Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation.Business process knowledge of assigned area(s) and/or function(s).Knowledge of advanced data gathering and analysis techniques, including statistical analysis.Education:Degree in a Math discipline or equivalent experience. - University Degree (4 years or equivalent)Economics - University Degree (4 years or equivalent)Statistics - University Degree (4 years or equivalent)Work Experience:Internal or external industry specific experience in relevant discipline. (1 - 3 years)Data analytics experience. (1 - 3 years)Background or proven experience in mining data for analytics insights. (1 - 3 years)Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner (1 - 3 years)Notes:Travel Requirement: Domestic travel up to 10%
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