Required Skills

Python

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 2nd Jan 2024

JOB DETAIL

We are seeking a talented and motivated Data Scientist with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and proficiency in Python programming.

The ideal candidate will be responsible for leveraging data to develop and implement innovative solutions that drive business outcomes.

As a key member of our data science team, you will collaborate with cross-functional teams to extract valuable insights, build predictive models, and contribute to the development of cutting-edge AI applications.

 

Responsibilities:

  • Data Analysis and Exploration:
  • Machine Learning Model Development:
  • Programming and Software Development:
  • Collaboration and Communication:
  • Continuous Learning and Professional Development:

 

Qualifications:

  • Proven experience as a Data Scientist with a focus on AI and ML.
  • Strong proficiency in Python programming and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of statistical modeling, machine learning algorithms, and data structures.
  • Experience working with large-scale datasets and distributed computing frameworks.
  • Excellent problem-solving skills and the ability to translate business requirements into data-driven solutions.
  • Effective communication skills with the ability to present complex findings in a clear and understandable manner.

 

Preferred Skills:

  • Experience with deep learning techniques and frameworks.
  • Knowledge of natural language processing (NLP) and computer vision.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling ML models.
  • Previous experience in industries such as finance, healthcare, or e-commerce is a plus

Company Information