Senior Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Job Description

bswift provides innovative and flexible benefits administration solutions to its customers. Backed by Fortune 5 company, CVS Health, bswift constantly reinvests in technology so that consumers can achieve their health ambitions. bswift is looking to hire an experienced Data Scientist to join our Conversational AI product team to build AI/Machine Learning-based chatbot and other conversational apps.

The ideal candidate should be comfortable with analyzing large data sets to find actionable opportunities for product and process enhancements. They should have experience using a variety of data mining/data analysis methods and using a variety of data tools. They should have a proven ability to drive business results leveraging AI/Machine Learning algorithms. The right candidate will have the ability for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Role Responsibilities

• Analyze large data sets made up of chatbot user requests to correlate similar data and find actionable intents
• Build and enhance NLU (natural language understanding) data models for digital AI assistants
• Transfer data into a new format to make it more appropriate for analysis
• Build tools and scripts to automate data collection
• Creating custom reports and presentations for business uses

Required Qualifications

• Experience with machine learning AI and NLU
• A good understanding of human computer interaction through natural language processing
• Ability to communicate complex data in a simple, actionable way
• Ability to visualize data in the most effective way possible for a given project or study
• Analytical and problem-solving skills
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques
• Ability to work independently and with team members from different backgrounds
• Familiarity with data management tools and reporting
• Experience querying databases and using statistical computer languages: (i.e. Python, SLQ, etc.)
• 5 or more years of practical experience