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Hybrid Artificial Intelligence Engineer Artificial Intelligence Engineer

The Hub · United States Of America · Hybrid

About the job

We are seeking a proactive AI Analyst to join our dynamic team, where you will be instrumental in harnessing the power of artificial intelligence to solve complex business challenges. In this role, you will analyze vast amounts of data to uncover trends that improve our products and services. You'll also collaborate with cross-functional teams to deploy AI-driven solutions that enhance our operational effectiveness and drive innovation. Your work will directly contribute to our strategic goals, making your role critical to our success.


About the Role:

Design and execute data-driven projects that align with organizational goals. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy.


Responsibilities:

  • Design and execute data-driven projects that align with organizational goals
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy


Qualifications:

Advanced degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a data analyst or data scientist. Experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Strong problem-solving skills with an emphasis on product development.


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