Jobs via Dice

Data Scientist (GenAI/AWS)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (GenAI/AWS) in Alpharetta, GA, offering a 6+ month contract at a competitive pay rate. Requires 4+ years of data science experience, proficiency in AWS SageMaker, and expertise in LLM/GenAI technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 10, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Cloud #Data Governance #Anomaly Detection #A/B Testing #Deployment #AI (Artificial Intelligence) #Data Science #Java #Model Deployment #Python #AWS SageMaker #Pandas #DevOps #SageMaker #Security #ML (Machine Learning) #AWS (Amazon Web Services)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Beedata, is seeking the following. Apply via Dice today! Hello, Position : Data Scientist (GenAI/AWS) Location : Alpharetta, GA 6+ Months Contract Position Key Responsibilities: Leverage cloud platforms particularly AWS to build, train, and deploy machine learning and GenAI solutions. Build dashboards, anomaly detection models, and predictive analytics to evaluate engineering efficiency and highlight improvement opportunities. Conduct pilot experiments, analyze performance outcomes, and validate model effectiveness using data-driven evaluation frameworks. Collaborate with Engineering, SRE, Platform, and DevOps teams to operationalize models and integrate analytics into CI/CD ecosystems. Ensure new solutions comply with enterprise data governance policies, legal, privacy, and security standards Required Qualifications: 4+ years of experience applying data science or machine learning in production environments. Strong experience with LLM/GenAI technologies and their application to developer experience Avid cloud practitioner, with strong proficiency in AWS SageMaker Proficiency in Python (pandas, scikit-learn), ML frameworks, and model training experience Knowledge of experimental design, A/B testing, or pilot validation frameworks. Excellent verbal and written communication skills. Preferred Qualifications: Experience in training ModernBert ML model Familiarity with MCP (Model Context Protocol) and related AI integration frameworks. Experience with MLOps practices and model deployment pipelines. Knowledge of Java or Node.js not required but beneficial for integrating ML/GenAI into development platforms. Understanding of enterprise data governance, privacy, legal and security standards. Thanks&Regards David(Vamsi) Chicago, Atlanta, Hyderabad&Vizag / • 114 | Email :