Data scientists in the retail industry have been working on large volumes of complex, multi-dimensional data to understand consumer behavior. This TalentCloud requires experts to have extensive knowledge of working with large volumes of data and deploying advanced models to generate actionable insights.
Required Skills
- Extensive experience as a data scientist with a focus on the retail industry.
- Experience working in web, product, customer, care, or other related analytics fields
- Proficient in Python
- Proficient in machine learning models such as neural networks, SVM, Naïve Bayes
- Experience with Natural Language Processing (NLP)
- Experience with computer vision
- 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
- Experience with active learning and reinforcement learning
- Experience with Named Entity Recognition models
- Experience with GCP, AWS, or Azure
- Experience with Big Data platforms such as Spark (SparkML/PySpark)
Preferred Skills
- Graduate degree in computer science, statistics, or a related field.
- 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
