Human resource management is an essential part of any organization. It is often said that the real value of each organization is its human capital. Experts in this TalentCloud should be able to tap into data science and analytics in order to better attract, recruit, train, and manage human resources. In addition to data science skills, knowledge of organizational behavior and behavioral psychology is preferred.
Required Skills
- Knowledge of organizational behavior, human resource management, or behavioral psychology
- Working experience in data science projects related to human resource management
- Proficient in Python
- Proficient in machine learning models such as neural networks, SVM, Naïve Bayes
- Experience with Natural Language Processing (NLP)
- Experience with Named Entity Recognition
- Proficient in storytelling and data visualizations (Tableau, Plotly, and Seaborn)
- Hands-on experience writing data processing and data pipeline for unstructured data model development including gathering and building datasets to collect intents, cleaning noisy data, designing feedback loop on data needs
- Proficient in unsupervised machine learning methods such as cluster analysis and anomaly detection
- Proficient in SQL.
Preferred Skills
- Experience with NoSQL databases
- Experience with BigQuery
- Experience with Google Natural Language API and spaCy
- Experience with econometric models such as panel data models
- Experience with R/Scala
- Experience with Containers
- Experience with Django
- Experience with active learning and reinforcement learning
- Experience with GCP, AWS, or Azure
- Experience with Big Data platforms such as Spark (SparkML/PySpark)
