Fun facts about our team and the Data Science role:

• We turn datasets into testable hypotheses
• Our models have real-world use cases with impactful results for enterprise customers
• Believe that Automation > Manual tasks
• We love to translate predictive models into writing guidance
  

Position Responsibilities:

• Design and implement machine learning models and validate model performance in the real world, using feedback from thousands of power users
  
• Lead development of in-production model deployment pipeline
  
• Build custom data models using NLP
  
• Collaborate with our product and engineering teams to create custom models that fit our product needs
  

Qualifications:

• 3+ years experience working in data science or relevant work capacity
  
• Proficient with data mining and machine learning
  
• Hands-on experience in deep learning frameworks such as TensorFlow and PyTorch
  
• Masterful at Docker and RESTful API development process
  
• Familiar with big data frameworks such as Hadoop, Spark in Java/Python/Scala
  
• Knowledge of distributed system and parallel computing is a plus
  
• Masters degree or Ph.D in computer science, computational linguistics, natural language processing, natural language generation, mathematics or related fields
  

Relevant Natural Language Processing (NLP) Skill:

• Syntactic & semantic parsing
  
• Text classification and clustering
  
• Search indexing
  
• Question answering and query understanding
  
• Data analytics and error analysis
  
• Machine learning with experience in NLP
  
• Machine translation and compilers
  

Benefits:

• Possibility for an equity share
  
• Paid benefits for the employees: Medical, Dental, Vision.
  
• Casual Office Atmosphere
  
• Commuter Benefits Program
• Company Sponsored Events & Team Building Experiences
  

If you are the right candidate for this position, kindly send your resume to [email protected]. Ensure you use SDSME01OBT as your subject.