Senior Data Scientist
Position Title : Data Scientist Sr.
Pittsburgh, PA, Strongsville, OH, Birmingham, AL, Farmers Branch, TX, Phoenix AZ
Ability to work remote: Hybrid 3 days in office
Acceptable time zone(s): EST
Potential for Contract Extension: yes
8 Months to Hire
Contract to hire W2
Roles and Responsibilities:
• Collaborate with other data scientists, data engineers and DevOps engineers to help build and deploy models using SageMaker in a hybrid environment
• Coordinate the build and automations for the entire MLOps pipeline including data and features, model (re)developments, deployment and ongoing monitoring of inference endpoints and model performance
• Implement automated monitoring and alerting systems to detect and remediate potential issues proactively
• Look for opportunities to optimize timelines, resource utilizations and resiliency of end-to-end MLOps process
• Collaborate for the development and integration of customized LLMs to enhance data analysis, natural language understanding, and generation tasks for agentic systems
• Stay updated on the latest developments, explore and experiment to push boundaries and contribute to team and intellectual property development
Must Have Technical Skills:
• Python and PySpark proficient
• Statistical analysis with data cleaning and augmentation experience
• Strong footing on ML algorithms and their suitability for varied use cases
• Deep learning and NLP experience (TensorFlow/PyTorch, BERT/GPT-3, etc.)
• AWS SageMaker and additional AWS services (Lambda, StepFunctions, etc.)
Flex Skills/Nice to Have: Fine-tuning LLMs, SageMaker pipelines, Infrastructure-as-a-code (IaaC), CI/CD, Model Monitoring, Explainable AI (XAI)
Education/Certifications:
• AWS Certified Machine Learning – Specialty
• AWS Certified DevOps Engineer – Professional
• Other Cloud Solution Provider (CSP) certifications in these areas will also count
• Additional Data Science and LLM focused certification will be a plus
Interview Process:
Screening Interview-30 mins
2nd Round, more Technical 30-50 minsx
Position Title : Data Scientist Sr.
Pittsburgh, PA, Strongsville, OH, Birmingham, AL, Farmers Branch, TX, Phoenix AZ
Ability to work remote: Hybrid 3 days in office
Acceptable time zone(s): EST
Potential for Contract Extension: yes
8 Months to Hire
Contract to hire W2
Roles and Responsibilities:
• Collaborate with other data scientists, data engineers and DevOps engineers to help build and deploy models using SageMaker in a hybrid environment
• Coordinate the build and automations for the entire MLOps pipeline including data and features, model (re)developments, deployment and ongoing monitoring of inference endpoints and model performance
• Implement automated monitoring and alerting systems to detect and remediate potential issues proactively
• Look for opportunities to optimize timelines, resource utilizations and resiliency of end-to-end MLOps process
• Collaborate for the development and integration of customized LLMs to enhance data analysis, natural language understanding, and generation tasks for agentic systems
• Stay updated on the latest developments, explore and experiment to push boundaries and contribute to team and intellectual property development
Must Have Technical Skills:
• Python and PySpark proficient
• Statistical analysis with data cleaning and augmentation experience
• Strong footing on ML algorithms and their suitability for varied use cases
• Deep learning and NLP experience (TensorFlow/PyTorch, BERT/GPT-3, etc.)
• AWS SageMaker and additional AWS services (Lambda, StepFunctions, etc.)
Flex Skills/Nice to Have: Fine-tuning LLMs, SageMaker pipelines, Infrastructure-as-a-code (IaaC), CI/CD, Model Monitoring, Explainable AI (XAI)
Education/Certifications:
• AWS Certified Machine Learning – Specialty
• AWS Certified DevOps Engineer – Professional
• Other Cloud Solution Provider (CSP) certifications in these areas will also count
• Additional Data Science and LLM focused certification will be a plus
Interview Process:
Screening Interview-30 mins
2nd Round, more Technical 30-50 minsx
