Experts in this TalentCloud should be able to obtain, process, clean, and analyze structured and unstructured data to build models that generate actionable insights based on analytics. This TalentCloud requires experts who are passionate about analyzing data using a variety of supervised and unsupervised machine learning models to discover new trends/insights in data that inform decision-making within organizations.
Required Skills
- Extensive experience with scikit-learn, statsmodels, SciPy
- Expert in supervised (classification, regression) and unsupervised machine learning (anomaly detection, cluster analysis)
- Proficient in building/ tuning/ testing models using machine learning and deep learning algorithms including tree-based methods, Bayesian models, support vector machines, feed forward networks, recurrent neural networks, and convolutional neural networks
- Expert in feature engineering and dimensionality reduction methods
- Expert in pre-processing data including dealing with anomalies and outliers, dealing with missing values, flooring/capping, and data transformations
- Hands-on experience writing data processing and data pipeline for structured and unstructured data model development
- Expert in statistical models such as regression analysis, survival analysis, and time series analysis
- Proficient in SQL
- Experience with text-related packages in Python such as NLTK, spaCy, and Gensim
- Excellent communication and storytelling skills
- Comfortable working independently
- Familiarity with version control, especially Git/GitHub
Preferred Skills
- Experience with econometric models such as panel data analysis and vector autoregression
- Experience with Apache Spark
- Experience with NoSQL databases
- Experience with Keras, PyTorch, and TensorFlow
- Web crawling/scraping with Python
- Experience with Containers
- Familiar with image recognition
- Ability to work with REST APIs
- Experience in cloud platforms such as GCP, AWS, or Azure
