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Data Scientist
Data ScientistVDart Inc • Charlotte, NC, United States
Data Scientist

Data Scientist

VDart Inc • Charlotte, NC, United States
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Data Scientist

Location Charlotte, NC (hybrid / remote)

Contract

Must Have skill

10+ years of experience in data science specific areas are regression (Boost, neural networks) and unsupervised machine learning (PCA, k-means, SVMs, etc.)

Typical languages (Python, SQL must). Data Bricks nice to have.

Job description

We are looking for a talented Data Scientist to join our team The ideal candidate will have expertise in both regression techniques and unsupervised machine learning methods You will be responsible for developing and implementing machine learning models to solve complex problems and enhance our data driven decision making processes.

Key Responsibilities

  • Develop and implement regression models using Boost and neural networks.
  • Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data.
  • Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
  • Optimize and finetune machine learning models for performance and scalability.
  • Conduct data preprocessing feature engineering and model evaluation.
  • Stay up to date with the latest advancements in machine learning and AI technologies.

Qualifications

  • Proficiency in Python and SQL is a must.
  • Experience with DataBricks is a plus.
  • Strong understanding of machine learning algorithms and techniques
  • Handson experience with XGBoost neural networks PCA kmeans and SVMs
  • Excellent problem solving skills and attention to detail
  • Ability to work independently and as part of a team
  • Strong communication skills to effectively convey technical concepts to nontechnical stakeholders.
  • Required Experience

  • Minimum of 8 to 10 years of experience in data science or a related field
  • Proven track record of developing and deploying machine learning models in a production environment.
  • Experience working with large datasets and distributed computing frameworks.
  • Familiarity with data visualisation tools and techniques
  • Experience in a collaborative team environment working with cross functional teams

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