Our client is an enterprise telecommunications and connectivity company, and this role sits within their Data Science team.
This role is dedicated to a projected focused on improving resolution recommendations to Field Technicians who are installing equipment and troubleshooting issues at the customer site. The technicians use a sophisticated mobile app, and this team has implemented a voice to text model for technicians to record what they did on the job. The recording is transcribed into text and processed into an LLM.
The goal is to create high quality resolution categories for technicians, and gleaming better insights from each voice summary. This team is building the disposition model, and when technicians go to do a new install, they will easily be able to access brief notes and the history of what has been done at that particular location. It will eventually make predictions as well.
This Data Scientist will support modeling to extract insights from the voice and text summaries and create a topic modeling process.
Initially, there will be discovery and collaborating with business stakeholders and field tech teams to identify the granularity of each job in order to build a classification model.
This will be an iterative engagement to provide continuous improvement on predictions
The pay rate for this role varies depending on level and years of experience and will be around $75/hour.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
3-5+ years of data science
NLP
Text data (classification, clustering, etc.)
Exposure to GenAI/LLMs
Python
SQL
Spark
Nice to Have Skills & Experience
Scala
Industry experience with field technicians or customer call/contact centers
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
