Data Scientist – Hybrid

Revel IT

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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 processing
  • Experience 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 Sight
  • Experience with at least one common Open Source high-level LLM-framework (e.g. Lang Chain, Llama-Index), evaluation techniques and agentic principles
  • Familiarity 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 consumption
  • Assessing the effectiveness and accuracy of data sources
  • Working 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 ability
  • Determining 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 Supervisor

 

Education:

  • 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 sets
  • 1+ 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 databases
  • 3+ years of experience in statistical languages and tools in particular R
  • 3+ years of experience in problem solving skills with an emphasis on product development.

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