Data Analyst
Required Skills & Experience
• 0-2 years of data analysis
• Degree in Computer Science (preferably within a data centric area)
• SQL
• Python
• Great communication and presentation skills
Nice to Have Skills & Experience
• Tableau
• DataBricks
• Call center background
Job Description
• Our client is looking to build a team of Data Scientists to support real-time transcription of their high-volume contact centers based virtually and throughout the United States.
• The team currently has Speech Analysts, and they are looking to expand their capabilities to provide real-time text data transcription and sentiment analysis, and use AI instead of audio.
• The goal is to develop AI models with transcripts to capture call summaries in two to three sentences about the issue and resolution, and gather sentiment feedback based on tone, energy, and language.
• Currently, they have natural language processing (NLP) in place and need to improve LLMs for GenAI. They’re not wanting the creation of a chatbot or repository, but more so candidates who understand what is going on behind the screen and fine tuning the existing model.
• The LLMs are text data specific and they need to incorporate more word embedding to convert word phrases to numerical representation of words using different techniques to identify similarities and allow the computer to understand those meanings.
• The goal is to build their own ChatGPT which will involve transcript and phonetic based queries converting that to transcript-based queries.
• This role will be responsible for:
o Performs data collection, analysis, validation and reporting.
o Designs, tests, and documents processes, SQL queries, and stored procedures.
o Support some manual labeling of data
o Build out dashboards
o Extracts and analyzes data from various sources, including databases, manual files, and external websites.
o Responds to data inquiries from various groups within an organization.
o Creates and publishes regularly scheduled and ad hoc reports.
The pay rate for this role varies depending on level and years of experience and will range from $25-$32/hour.
Required Skills & Experience
• 0-2 years of data analysis
• Degree in Computer Science (preferably within a data centric area)
• SQL
• Python
• Great communication and presentation skills
Nice to Have Skills & Experience
• Tableau
• DataBricks
• Call center background
Job Description
• Our client is looking to build a team of Data Scientists to support real-time transcription of their high-volume contact centers based virtually and throughout the United States.
• The team currently has Speech Analysts, and they are looking to expand their capabilities to provide real-time text data transcription and sentiment analysis, and use AI instead of audio.
• The goal is to develop AI models with transcripts to capture call summaries in two to three sentences about the issue and resolution, and gather sentiment feedback based on tone, energy, and language.
• Currently, they have natural language processing (NLP) in place and need to improve LLMs for GenAI. They’re not wanting the creation of a chatbot or repository, but more so candidates who understand what is going on behind the screen and fine tuning the existing model.
• The LLMs are text data specific and they need to incorporate more word embedding to convert word phrases to numerical representation of words using different techniques to identify similarities and allow the computer to understand those meanings.
• The goal is to build their own ChatGPT which will involve transcript and phonetic based queries converting that to transcript-based queries.
• This role will be responsible for:
o Performs data collection, analysis, validation and reporting.
o Designs, tests, and documents processes, SQL queries, and stored procedures.
o Support some manual labeling of data
o Build out dashboards
o Extracts and analyzes data from various sources, including databases, manual files, and external websites.
o Responds to data inquiries from various groups within an organization.
o Creates and publishes regularly scheduled and ad hoc reports.
The pay rate for this role varies depending on level and years of experience and will range from $25-$32/hour.
