Lorven Technologies Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Charlotte, NC, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Amazon SageMaker, Python, Machine Learning, AWS Glue, and MLOps. Experience in data engineering and compliance with AWS best practices is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#Data Science #Lambda (AWS Lambda) #SageMaker #Predictive Modeling #Scala #Amazon Redshift #Python #IAM (Identity and Access Management) #Anomaly Detection #NLP (Natural Language Processing) #Amazon EMR (Amazon Elastic MapReduce) #Data Quality #Datasets #Data Analysis #AWS (Amazon Web Services) #Compliance #Deployment #AI (Artificial Intelligence) #TensorFlow #S3 (Amazon Simple Storage Service) #Data Engineering #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #ML (Machine Learning) #R #Documentation #Athena #Amazon QuickSight #Monitoring #Data Governance #AWS Lambda #Redshift #Code Reviews #PyTorch #Model Deployment #Cloud #Forecasting #Security #Data Processing #AWS Glue
Role description
Hi,
Our client is looking for a Data Scientist project in Charlotte, NC below is the detailed requirement
.
Job Title: Data Scienti
stLocation: Charlotte,
NC
Required Skills: Amazon SageMaker, Python, Machine Learning (ML), AWS Glue, ML
Ops
Job descript
• ion:Design, develop, and implement end-to-end Machine Learning (ML) pipelines on AWS using Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3 for scalable data processing, model training, deployment, and monitor
• ing.Perform data collection, cleansing, preprocessing, transformation, and feature engineering to prepare high-quality structured and unstructured datasets for predictive modeling and advanced analyt
• ics.Build, train, evaluate, fine-tune, and deploy Machine Learning and Statistical Models using Python, R, and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch to solve complex business probl
• ems.Implement MLOps best practices by automating model deployment, versioning, monitoring, retraining, and CI/CD pipelines to ensure reliable, scalable, and production-ready ML soluti
• ons.Collaborate with Data Engineering teams to design, develop, and optimize ETL pipelines, ensuring data quality, availability, governance, and seamless integration across AWS cloud platfo
• rms.Utilize AWS analytics services including Amazon Athena, Amazon Redshift, Amazon EMR, and Amazon QuickSight to perform data analysis, reporting, dashboard development, and business intelligence visualizat
• ion.Develop AI/ML solutions for use cases such as forecasting, anomaly detection, Natural Language Processing (NLP), Computer Vision, recommendation systems, and predictive analytics to drive business va
• lue.Partner with business stakeholders, product owners, and cross-functional teams to understand business objectives, translate requirements into data-driven solutions, and communicate actionable insig
• hts.Ensure compliance with AWS security, IAM, encryption, data governance, and cloud best practices while optimizing ML workloads for performance, scalability, reliability, and cost efficie
• ncy.Stay current with emerging AWS AI/ML services, cloud technologies, and industry best practices, contributing to continuous improvement, technical documentation, code reviews, and innovation initiati
ves.
Hi,
Our client is looking for a Data Scientist project in Charlotte, NC below is the detailed requirement
.
Job Title: Data Scienti
stLocation: Charlotte,
NC
Required Skills: Amazon SageMaker, Python, Machine Learning (ML), AWS Glue, ML
Ops
Job descript
• ion:Design, develop, and implement end-to-end Machine Learning (ML) pipelines on AWS using Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3 for scalable data processing, model training, deployment, and monitor
• ing.Perform data collection, cleansing, preprocessing, transformation, and feature engineering to prepare high-quality structured and unstructured datasets for predictive modeling and advanced analyt
• ics.Build, train, evaluate, fine-tune, and deploy Machine Learning and Statistical Models using Python, R, and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch to solve complex business probl
• ems.Implement MLOps best practices by automating model deployment, versioning, monitoring, retraining, and CI/CD pipelines to ensure reliable, scalable, and production-ready ML soluti
• ons.Collaborate with Data Engineering teams to design, develop, and optimize ETL pipelines, ensuring data quality, availability, governance, and seamless integration across AWS cloud platfo
• rms.Utilize AWS analytics services including Amazon Athena, Amazon Redshift, Amazon EMR, and Amazon QuickSight to perform data analysis, reporting, dashboard development, and business intelligence visualizat
• ion.Develop AI/ML solutions for use cases such as forecasting, anomaly detection, Natural Language Processing (NLP), Computer Vision, recommendation systems, and predictive analytics to drive business va
• lue.Partner with business stakeholders, product owners, and cross-functional teams to understand business objectives, translate requirements into data-driven solutions, and communicate actionable insig
• hts.Ensure compliance with AWS security, IAM, encryption, data governance, and cloud best practices while optimizing ML workloads for performance, scalability, reliability, and cost efficie
• ncy.Stay current with emerging AWS AI/ML services, cloud technologies, and industry best practices, contributing to continuous improvement, technical documentation, code reviews, and innovation initiati
ves.
