Data Scientist

• Identify valuable data sources and automate collection processes.
  
• Undertake preprocessing of structured and unstructured data.
  
• Analyze large amounts of information to discover trends and patterns.
  
• Build predictive models and machinelearning algorithms.
  
• Combine models through ensemble modeling.
  
• Present information using data visualization techniques.
  
• Propose solutions and strategies to business challenges.
  
• Collaborate with engineering and product development teams.
  
• Communicate your findings to the appropriate teams through visualizations.
  
• Collaborate and communicate findings to diverse stakeholders.
  
• Provide solutions but not limited to: Image recognition natural language processing Sentiment Analysis Concept Extraction Recommender Systems Clustering Customer Segmentation Propensity Modeling Churn Modeling Lifetime Value Estimation Forecasting Modeling Response to Incentives Marketing Mix Optimization Price Optimization.
  
• Follow/maintain an agile methodology for delivering on project milestones.
  
• Excellent oral presentation and written communication skills.
  
  

Requirements

• Bachelors in Math Computer Science Information Systems Machine Learning Statistics Econometrics Applied Mathematics Operations Research or related technical degree.
  
• Minimum of 3 years of experience in a related position as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems.
  
• Working knowledge of statistical techniques NLP machine learning algorithms and deep learning frameworks like TensorFlow Pytorch PySpark.
  
• Programming background and expertise in building models using at least one of the following languages: Python R C C Spark Scala.
  
• Good knowledge in the implementation of deep learning models for image classification Document classification models object detection logo detection.
  
• Selfmotivated and driven to deliver agreed results ontime