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Need Senior Data Scientist - Charlotte, NC - Need Locals Only
Ref No.: 23-01808
Location: Charlotte, North Carolina
Position Type:Contract
Data Science / Machine Learning / Generative AI
Charlotte, NC
Long Term Contract
W2 Opportunity
 
Need Only  Local candidates.
 
Responsibilities:


 The Data Scientist is responsible for executing the full scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models, data mining, causal inferences, predictions, optimizations, and recommendations.This position is for a self-starter with leadership qualities, responsible for formulating and managing projects, as well as developing data science models, and working with key business, data and technology leaders to establish roadmaps and deliver high value analytic projects.Position requires strong command of various data mining and advanced analytical techniques to produce easy to use analytical solutions.  Contributes to the strategic vision and integrates a broad range of ideas regarding setting the strategy around gathering, organizing, and extracting qualitative and quantitative relationships and trends from large amounts of data.  Recognized across the organization for organizing and developing data warehouses for optimal decision support. Leads the design, development and implementation of complex data management, storage applications, often using new technologies.Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results. Work leadership may be provided by assigning work and resolving problems.


Requirements:
 
  • Strong knowledge of Machine Learning Algorithms and techniques
  • Strong knowledge of Generative AI (keywords- zero shot, few-shot, RAG, Fine-tuned (fine tuning) model, etc.)
  • Expert with NLP and must have worked on a few large-scale projects
  • Strong knowledge of Data Science
  • Must know Statistical techniques/tests.
  • Super comfortable with Python, Spark, SQL
  • Hands-on experience on either AWS/GCP/Azure
  • Good knowledge of Deep Learning and Transformers architecture.
  • Experience with building Deep learning models.
  • Experience with MLOps principles and MDLC lifecycle.
  • Experience with deploying Deep learning models.
  • Must be hands-on using Spark, Kubernetes, Docker, etc.
  • Good to have- Hands-on experience on either AWS/GCP/Azure