Data Scientist

1 month ago


plano, United States Saxon Global Full time

Job Title: Data Scientist with GENAI Experience

Location: Plano, TX

Duration: 18 Months (Contract)


Overview:

We are seeking a Data Scientist with a strong background in machine learning, statistical analysis, and an understanding of Generative AI (GENAI) to join our team for an exciting 18-month contract. This role will focus on leveraging cutting-edge technologies and innovative AI models to provide actionable insights and drive decision-making. The ideal candidate will have experience in working with both traditional data science methodologies and emerging AI techniques, including Generative AI, to enhance business outcomes.


Required Skills & Qualifications:

  • Experience: 4+ years of experience as a Data Scientist or in a similar role with hands-on experience in machine learning, data analysis, and statistical modeling.
  • Generative AI Knowledge: Understanding of Generative AI (GENAI) concepts, including model architectures (e.g., Generative Adversarial Networks (GANs), Transformer models, GPT-3), and their application to real-world problems.
  • Programming: Strong proficiency in Python, R, or other programming languages commonly used for data science.
  • Machine Learning: Expertise in building, training, and optimizing machine learning models using libraries like scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Wrangling & Preprocessing: Experience working with large datasets, including SQL, NoSQL, and cloud storage (e.g., AWS S3, Google Cloud Storage).
  • Advanced Analytics Techniques: Experience with NLP, deep learning, time-series analysis, or other advanced analytics methods.
  • Problem-Solving: Strong analytical, critical thinking, and problem-solving skills with the ability to apply data science techniques to a wide variety of business problems.
  • Communication Skills: Ability to clearly explain complex technical concepts and results to non-technical stakeholders and collaborate effectively within multidisciplinary teams.


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