Summary
Inizio Partners is seeking a Data Scientist to work on anomaly detection within plant operations projects. The role involves scaling anomaly detection models and requires expertise in machine learning, statistical modeling, and effective communication with multi-disciplinary teams.
Responsibilities
- Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering
- Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
- Ability to communicate and establish good relations with multi-disciplinary teams
- Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework
- Proficiency with Python, including pandas, scikit-learn
- Experience in PySpark
Skills
- Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering
- Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
- Ability to communicate and establish good relations with multi-disciplinary teams
- Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework
- Proficiency with Python, including pandas, scikit-learn
- Experience in PySpark
- Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required
- 3+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
- Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred
Qualifications
Must Haves
- Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering
- Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
- Ability to communicate and establish good relations with multi-disciplinary teams
- Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework
- Proficiency with Python, including pandas, scikit-learn
- Experience in PySpark
- Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required
- 3+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Nice to Haves
- Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred