Description
You will lead data science initiatives and advanced analytics projects within the customer experience domain.
This role is on-site.
Responsibilities
- Develop predictive models, diagnostic analytics, and statistical techniques to drive business outcomes.
- Apply NLP and text analytics methods to extract insights from unstructured data.
- Implement optimization and growth analytics methodologies to improve operational efficiency.
- Communicate complex findings and model results clearly to non-technical stakeholders.
- Deploy and maintain machine learning models using MLOps practices within AWS environments.
Required Skills
- 5–7 years of experience in data science or advanced analytics, preferably in BPO or customer experience settings.
- Proficiency in Python and SQL; R is preferred but not required.
- Strong foundation in predictive modeling, diagnostic analytics, and statistical techniques.
- Experience with NLP and text analytics tools and libraries.
- Familiarity with Amazon Connect Customer Profiles, Contact Lens, or Genesys Cloud CX.
- Hands-on experience with MLOps practices within AWS.
Preferred Skills
- Exposure to optimization and growth analytics methodologies.
- Strong communication skills for presenting technical findings to diverse audiences.