

Senior Data Scientist (ERP Conversion)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (ERP Conversion) with 12+ years of experience, focusing on ERP conversion and image processing. It is a remote contract position, requiring skills in deep learning, NLP, and MLOps. Pay rate is "unknown."
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Image Processing #NLP (Natural Language Processing) #Documentation #Azure Databricks #Data Analysis #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Visualization #GitHub #Databricks #ML (Machine Learning) #Statistics #Docker #Azure #Data Science #"ETL (Extract #Transform #Load)" #Jira #Dataiku #Deep Learning
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Emergere Technologies, is seeking the following. Apply via Dice today!
Job Title: Senior Data Scientist (ERP Conversion) Location: Remote (Dallas Tx) Contract: C2C Exp: 12+ Years Must Have Experience: (ERP Conversion, Image Processing background)
Work with deep learning, ERP Conversion, NLP, Computer Vision & predictive analytics
Build & optimize cutting-edge AI models for real-world applications
Role Description:
This is a contract role for a Sr Data Scientist. The Sr Data Scientist will be responsible for data science, statistics, data analytics, data visualization, and data analysis. This role is remote and involves day-to-day tasks related to data analysis and visualization.
Looking for someone with core ML skillset to be part of the ERP conversion projects.
Qualifications:
Lead and participate in developing data science products, transforming client needs into quantifiable solutions.
Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions.
Design, train, and deploy machine learning and deep learning models on platforms like AWS, Azure, Databricks, and Dataiku.
Develop and advise on Large Language Model (LLM) solutions for enterprise-wide documentation, including RAG, CPT, and SFT.
Utilize MLOps pipelines, including containerization (Docker) and CI/CD, for training and deploying models.
Write clean, well-commented code for easy collaboration and maintain structured project documentation using GitHub and/or Jira.