AI & Machine Learning Data Scientist (Marketing Analytics, Consumer Analytics, Consumer Insights)

Easily find top Marketing Data Science Consultants to accelerate your projects

Cloud Description

Data scientists with extensive experience in dealing with consumer data. This TalentCloud requires expertise in building machine learning and statistical models to understand and forecast consumer behavior in a variety of business sectors. The data scientists should be familiar with building machine learning models using large volumes of data. 

Required Skills

  • Extensive experience as a data scientist with a focus on consumer analytics 
  • 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, etc.
  • Experience with Natural Language Processing (NLP) 
  • 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 

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 PySpark
  • Experience in cloud platforms such as GCP, AWS, or Azure

Are you an Expert in this field?

If you possess proficiency in any of the skills in this field, you can apply to this TalentCloud. Once you have been approved to join this Cloud, you will be able to access exclusive contract opportunities from our clients.