Revel IT
Data Scientist - Hybrid
Revel IT, Greenville, South Carolina, us, 29610
Our Greenville client has a contract opportunity for a
Data Scientist
who accelerates and supports the ongoing activities in the field of Artificial Intelligence and Computer vision for multiple use cases for quality improvement in the area of manufacturing.
This position requires a minimum of 40% onsite attendance; 2 days each week.Qualifications:
Experience using statistical computer languages (python) to manipulate data and draw insights from large data sets.Experience using a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and knowledge of their real-world advantages/drawbacks.Experience using deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)Experience in natural language processingExperience using database technologies including SQL, Oracle, SQL Server, or NoSQL databases.Experience using cloud technology and services specifically in AWS including Athena, Glue, Sage maker, and Quick SightExperience with at least one common Open Source high-level LLM-framework (e.g. Lang Chain, Llama-Index), evaluation techniques and agentic principlesFamiliarity with modern software development, DevOps strategies and tooling (Git Ops)Experience using machine learning models in the automotive industry would be nice to have.A day in the life includes:
Working with large data sets and prepping the data for consumptionAssessing the effectiveness and accuracy of data sourcesWorking with business users to obtain more insight into data sources.Asking the right questions to understand how the data can be used.Evaluating the results of machine learning algorithms - determining their explain abilityDetermining the feasibility of a use case given the business problem and the available data.Monitoring and analyzing model performance Performing prompt engineering tasks with specific use cases.Position Purpose/Scope:
Deals with large volumes of data, understands and explores data critical to client's business.Drives data for future client processes and products.Works with different client business units to understand the business demands with respect to Artificial Intelligence and Quality Assessment.Conducts advanced analytical tasks, designs deep learning models, data mining, and computer vision to enable client to improve its products, services and processes.Position Responsibilities/Accountabilities:
Analyzes business critical data and recommends improvements.Works with large data sets consisting of predominantly images and conducts advanced analytics tasks.Assess the effectiveness and accuracy of new data sources and data gathering techniques.Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.Develops custom data models and algorithms to apply to data sets.Coordinates with different functional teams to implement models and monitor outcomes.Develops processes and tools to monitor and analyze model performance and data accuracy.Serves as internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development.Advises developers and engineers on latest data analytics technologies and assists the team in process matters as related to development/support and provides the necessary on the job training and development of associates/contractors within the team.Maintains accurate, meaningful and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility.Performs other duties as assigned by client's Operations SupervisorEducation:
Bachelor degree in computer science, mathematics/statistics or related field.Advanced degree (Masters or PhD) in computer science, mathematics/statistics or a related field (preferred).Experience:
3+ years post-university experience in advanced analytics in the field of data science, applying scientific data analytics methods preferably to automotive industry datasets.1+ years proven experience completing projects with a set of various data sources.Licenses and/or Certifications:
Process/project management experience or training/certifications (preferred).Knowledge/Skills/Abilities:
3+ years of knowledge in using statistical computer languages (Python, SLQL, etc.) to manipulate data and draw insights from large data sets1+ years of knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Intermediate knowledge of deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)3+ years of knowledge of in one or more of the following programming languages: Python, Java, C++3+ years of knowledge and experience in Computer Science and in database technologies including SQL, Oracle, SQL Server, SAP HANA and NoSQL databases3+ years of experience in statistical languages and tools in particular R3+ years of experience in problem solving skills with an emphasis on product development.
Data Scientist
who accelerates and supports the ongoing activities in the field of Artificial Intelligence and Computer vision for multiple use cases for quality improvement in the area of manufacturing.
This position requires a minimum of 40% onsite attendance; 2 days each week.Qualifications:
Experience using statistical computer languages (python) to manipulate data and draw insights from large data sets.Experience using a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and knowledge of their real-world advantages/drawbacks.Experience using deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)Experience in natural language processingExperience using database technologies including SQL, Oracle, SQL Server, or NoSQL databases.Experience using cloud technology and services specifically in AWS including Athena, Glue, Sage maker, and Quick SightExperience with at least one common Open Source high-level LLM-framework (e.g. Lang Chain, Llama-Index), evaluation techniques and agentic principlesFamiliarity with modern software development, DevOps strategies and tooling (Git Ops)Experience using machine learning models in the automotive industry would be nice to have.A day in the life includes:
Working with large data sets and prepping the data for consumptionAssessing the effectiveness and accuracy of data sourcesWorking with business users to obtain more insight into data sources.Asking the right questions to understand how the data can be used.Evaluating the results of machine learning algorithms - determining their explain abilityDetermining the feasibility of a use case given the business problem and the available data.Monitoring and analyzing model performance Performing prompt engineering tasks with specific use cases.Position Purpose/Scope:
Deals with large volumes of data, understands and explores data critical to client's business.Drives data for future client processes and products.Works with different client business units to understand the business demands with respect to Artificial Intelligence and Quality Assessment.Conducts advanced analytical tasks, designs deep learning models, data mining, and computer vision to enable client to improve its products, services and processes.Position Responsibilities/Accountabilities:
Analyzes business critical data and recommends improvements.Works with large data sets consisting of predominantly images and conducts advanced analytics tasks.Assess the effectiveness and accuracy of new data sources and data gathering techniques.Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.Develops custom data models and algorithms to apply to data sets.Coordinates with different functional teams to implement models and monitor outcomes.Develops processes and tools to monitor and analyze model performance and data accuracy.Serves as internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development.Advises developers and engineers on latest data analytics technologies and assists the team in process matters as related to development/support and provides the necessary on the job training and development of associates/contractors within the team.Maintains accurate, meaningful and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility.Performs other duties as assigned by client's Operations SupervisorEducation:
Bachelor degree in computer science, mathematics/statistics or related field.Advanced degree (Masters or PhD) in computer science, mathematics/statistics or a related field (preferred).Experience:
3+ years post-university experience in advanced analytics in the field of data science, applying scientific data analytics methods preferably to automotive industry datasets.1+ years proven experience completing projects with a set of various data sources.Licenses and/or Certifications:
Process/project management experience or training/certifications (preferred).Knowledge/Skills/Abilities:
3+ years of knowledge in using statistical computer languages (Python, SLQL, etc.) to manipulate data and draw insights from large data sets1+ years of knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Intermediate knowledge of deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)3+ years of knowledge of in one or more of the following programming languages: Python, Java, C++3+ years of knowledge and experience in Computer Science and in database technologies including SQL, Oracle, SQL Server, SAP HANA and NoSQL databases3+ years of experience in statistical languages and tools in particular R3+ years of experience in problem solving skills with an emphasis on product development.