Predictive Modeling Specialist

3 weeks ago


Clayton, Ohio, United States Saxon Global Full time

Saxon Global is a leading provider of innovative solutions in the field of artificial intelligence and machine learning. We are seeking an experienced Predictive Modeling Specialist to join our team.

About the Role:

  • Develop and deploy predictive models using machine learning algorithms and software frameworks.
  • Analyze data from various sources, including databases, APIs, and streaming platforms, to train and validate models.
  • Collaborate with cross-functional teams, including data scientists, engineers, and stakeholders, to integrate ML solutions into business processes.
  • Stay up-to-date with industry trends, advancements, and best practices in machine learning, contributing to the development of new skills and knowledge within the team.
  • Participate in code reviews, providing constructive feedback to ensure high-quality code and adherence to coding standards.

About You:

  • Minimum 5 years of experience in predictive modeling, with a strong background in software development, statistics, and mathematics.
  • Proficiency in programming languages such as Python, R, or Java, with experience in popular frameworks like TensorFlow, PyTorch, or Keras.
  • Demonstrated expertise in designing, developing, and deploying predictive models, with a strong understanding of model evaluation metrics and techniques.
  • Experience working with databases, APIs, and streaming platforms, with knowledge of data preprocessing, feature engineering, and visualization.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Benefits:

  • A competitive salary range of $140,000 - $180,000 per year, based on experience and qualifications.
  • A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
  • Opportunities for professional growth and development, including training, mentorship, and networking events.

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