Data Scientist

Capgemini
Houston, TX, United States
3 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$110,573.0 - $172,786.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Business Analytics Applications Data Analysis R (Programming Language) Python (Programming Language) Machine Learning Natural Language Processing SQL Databases Large Language Models Prompt Engineering
+5 more
Generative AI Machine Learning Operations Api Gateway Software Coding Programming Languages

Job description

As a Data Scientist, you will work within the Analytics team to develop models using Natural Language Processing along with many other techniques.

  • Developing ML models that allow us to be prescriptive as opposed to reactive.
  • Staying informed of next generation data and analytical tools.
  • Converting ad hoc analyses into scalable solutions and tools that can be used on demand as self-serve.
  • Helping reveal actionable insights for individuals within various business functions
  • Cleaning, prepping and verifying the integrity of data for analyses. Demonstrable knowledge of common coding languages (Python, SQL, R) with ability to learn new skills and
  • skills in new environments.
  • Experience in Developing and Deploying GenAI Solutions: Building and fine-tuning generative AI/LLM solutions using AWS Bedrock and available foundation models like Claude, Llama, and Titan.
  • Building ML Workflows: Leveraging a wide range of AWS services (S3, Lambda, SageMaker, API Gateway, etc.) to build end-to-end machine learning workflows.
  • Implementing RAG Architectures: Designing and building Retrieval Augmented Generation (RAG) pipelines and developing custom embeddings and vector search solutions.
  • Prompt Engineering and Optimization: Creating effective prompt engineering strategies, evaluation frameworks, and model optimization techniques.
  • Collaboration: Working with cross-functional teams, including data engineers and software engineers, to integrate AI applications into existing systems and translate business problems into scalable AI solutions.
  • Monitoring and Governance: Ensuring data quality, security, and compliance, and setting up monitoring and governance for production-ready AI applications.

Requirements

Do you have experience in Software coding?

Benefits & conditions

3.73.7 out of 5 stars Houston, TX Hybrid work $53.16 - $83.07 an hour - Contract, Pulled from the full job description

  • Health insurance
  • Retirement plan
  • Vision insurance
  • Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $53.16/hour - $83.07/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

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