Data Scientist - Hybrid

Position

Data Scientist - Hybrid

About the role

Location: Dallas (Contract Hybrid Role)

Responsibilities

• Proficiency in using Python machine learning libraries (e.g., sklearn, TensorFlow, Keras, etc.)
• Proficient in utilizing AWS suite of products, particularly SageMaker and S3
• Experience with automation tools, including Airflow
• Strong background in feature engineering
• Proven experience in model evaluation for time series analysis
• Familiarity with model performance monitoring techniques
• Knowledge of forecast algorithms such as RandomForest Regressor, XGB, Prophet, TransformerModel. Familiarity with TFT is a plus
• Demonstrated problem-solving skills and a customer-focused mindset

Requirements

• Minimum 6 years of experience in the following areas, with a priority on Machine Learning with Python

Qualifications

• Experience with automation tools, including Airflow
• Strong background in feature engineering
• Proven experience in model evaluation for time series analysis
• Familiarity with model performance monitoring techniques
• Knowledge of forecast algorithms such as RandomForest Regressor, XGB, Prophet, TransformerModel. Familiarity with TFT is a plus
• Demonstrated problem-solving skills and a customer-focused mindset

Skills

• Proficiency in using Python machine learning libraries (e.g., sklearn, TensorFlow, Keras, etc.)
• Proficient in utilizing AWS suite of products, particularly SageMaker and S3
• Knowledge of forecast algorithms such as RandomForest Regressor, XGB, Prophet, TransformerModel. Familiarity with TFT is a plus
• Demonstrated problem-solving skills and a customer-focused mindset

Benefits

• Not specified

Pay

• Not specified

Schedule

• Not specified