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Hallmark Global Technologies Inc Logo
Lead Data Scientist
Posted On: 30+ days ago
Experience: 8+ years
Availability: Hybrid
Openings: 1
Category: Lead Data Scientist
Tenure: Contract - Corp-to-Corp
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Description

Responsibilities:

  • Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 
  • Perform data cleaning, feature engineering, and exploratory data analysis. 
  • Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
  • Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

  • Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
  • Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
  • Ability to translate complex machine learning problem statements into specific deliverables and requirements.
  • Should have worked with major cloud platforms such as AWS, Azure or GCP.
  • Working knowledge of SQL and no-SQL databases.
  • Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
  • Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
  • Strong understanding of evaluation and monitoring metrics for machine learning projects.
  • Must know the  use any one of the ai coding agents 
  • Must  have very strong logical reasoning abilities. 
  • Must be flexible to work on alternative technologies as per project needs. ( with training) 

Technical Skills – Good to have:

  • Track record of getting ML models into production
  • Experience building chatbots.
  • Experience with closed and open source LLMs.
  • Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…
  • Certifications or courses in data science.

Education:

  • Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

  • Understanding of Agile and Scrum methodologies. 
  • Ability to follow SDLC processes and contribute to technical documentation

Education

Bachelor's or Master's degrees

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