Data Scientist

Indotronix Avani Group
Woonsocket, RI, United States
1 day ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

A/B Testing Artificial Intelligence Data Analysis JSON Python (Programming Language) Natural Language Processing SQL Databases Google Cloud Large Language Models Git AI Platforms Information Technology
+1 more
Software Version Control

Job description

Join our fast-paced Call Center Innovation Lab as a Senior Data Scientist and drive large-scale transformation in customer experience and digital self-service across Aetna. You’ll work remotely, collaborating with passionate teams to extract actionable insights from call transcripts and unstructured data using the latest NLP, LLMs, and transformer models. This is a unique opportunity to shape enterprise-wide solutions, expand model coverage, and play a pivotal role in building scalable frameworks that directly impact business outcomes.

Responsibilities

  • Lead full-cycle development of AI models: from raw text data analysis to model building, training, and iterative refinement.
  • Analyze call center interactions to uncover service drivers, efficiency gaps, and digital self-service opportunities.
  • Apply NLP, LLMs, and GenAI techniques to extract insights from large-scale call transcripts and related text data.
  • Design, implement, and evaluate pilots, experiments, and quasi-experiments to quantify business impact.
  • Translate complex analytics into clear, actionable recommendations for both technical and senior business stakeholders.
  • Collaborate with cross-functional teams, including Digital SMEs and Data Engineering partners, to operationalize analytical outputs into dashboards and reusable assets.
  • Synthesize stakeholder requirements and clearly communicate model capabilities, ROI, and business value.
  • Expand existing solutions to support multiple business lines and develop new model types to extract novel insights.

Requirements

Minimum 3 years in data science, advanced analytics, or similar roles with end-to-end model delivery experience.

  • Hands-on proficiency in SQL and Python for analysis and modeling.
  • Deep expertise with NLP, LLMs, or GenAI applied to text/conversational data (call transcripts, chat logs).
  • Experience designing and analyzing experiments, pilots, or A/B tests, converting results into business actions.
  • Demonstrated strength in developing scalable analytical assets (frameworks, dashboards, scorecards).
  • Excellent communication skills for translating technical outcomes into business value for diverse audiences.
  • Proven ability to work independently and cross-functionally in dynamic, fast-moving environments.
  • Familiarity with version control systems (e.g., Git) and modern data workflows.

Preferred Skills

  • Experience with call center, virtual assistant, or contact center data.
  • Familiarity with Google Cloud Platform (GCP), Vertex AI, or equivalent enterprise AI platforms.
  • Background in digital, customer interaction, or call center analytics.
  • Ability to clearly articulate technical tradeoffs and business impact to senior leadership.
  • Master’s degree in Computer Science, Engineering, Analytics, Statistics, or related quantitative field., Ready to drive innovation and build the next generation of AI-powered solutions? Submit your application with your updated resume detailing relevant experience in NLP, LLMs, and data science. We are seeking independent, impact-driven professionals eager to make a measurable difference. Background check and drug screening required.

Benefits & conditions

Remote, flexible work environment with leading-edge AI projects.

  • Direct impact on digital transformation at enterprise scale.
  • Opportunity to expand AI/ML skills with advanced NLP and LLMs.
  • Collaborative culture with high visibility to business and technical leadership.
  • Contract to hire - potential pathway to full-time employment with a Fortune 500 organization.

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