Position Location: Hybrid (3 in office, 2 remote) - Pittsburgh, PA; Birmingham, AL; Dallas, TX; Cleveland, OH; or Phoenix, AZ

Job Summary:

Seeking an experienced Machine Learning Engineer to lead the implementation of universal forecasting models within the Data Science Innovation (DSI) group. The ideal candidate will focus on ML forecasting, Python, and Hadoop, with expertise in Python, ARIMA, FB Prophet, Seasonal Naive, and Gluon. Collaboration with Data Scientists in a Software Development Life Cycle (SDLC) environment is essential for successful model deployment.

Responsibilities:

- Attend meetings as needed

- Work in an adapted PNC Agile environment

- Collaborate with team members to implement forecasting models

- Delegate tasks effectively

Skills:

- Proficiency in ML forecasting techniques

- Strong programming skills in Python

- Experience with Hadoop ecosystem

- Knowledge of ARIMA, FB Prophet, Seasonal Naive, and Gluon

- Ability to work collaboratively in a SDLC environment

Qualifications:

- Degree not required

**This is a contract role with the right to hire if a need becomes available. Manager will only look at candidates who are open to converting to a full time PNC employee. PNC will not sponsor work visas if the decision is made to hire the contingent worker.**