GenAI Researcher (Internship)

Dover; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

VapTales is seeking a Data Scientist to join a team solving complex business problems for enterprise customers through advanced analytics and data-driven decisions.

You will uncover insights, develop predictive models, and shape strategies that improve customer experiences, operational performance, and growth across high-volume environments.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• Strong foundation in statistics, machine learning, and data analysis.
• Proficiency in Python, SQL, and analytical tools.
• Experience with large datasets and predictive modeling.
• Excellent problem-solving and communication skills.

Responsibilities

• Develop predictive models and advanced analytics solutions.
• Design experiments and measure business impact through data.
• Extract insights from structured and unstructured datasets.
• Partner with business stakeholders to solve complex problems.
• Communicate findings through visualizations and executive presentations.

Skills

Statistics

Machine Learning

Data Analysis

Communication

Education

Bachelor's or Master's degree in Data Science/Statistics/Math/CS

Tools

Python

SQL

Job description

Company Overview

VapTales is a Generative AI platform focused on agentic orchestration and enterprise-scale workflows. We partner with major global enterprises and to curate advanced customer experiences using cutting-edge AI technologies. Building on our success in the retail and e-commerce sector, we are currently expanding our platform to serve the online grocery marketplace. This strategic initiative aims to provide a new, agentic way for enterprise clients to serve online shoppers, integrating advanced AI into high-volume transaction environments.

Job Summary

As a Data Scientist, you will join team that solves complex business problems for enterprise customers through advanced analytics and data-driven decision-making. You will uncover insights, develop predictive models, and help shape strategies that improve customer experiences, operational performance, and business growth.

Key Responsibilities

• Develop predictive models and advanced analytics solutions.
• Design experiments and measure business impact through data.
• Extract insights from structured and unstructured datasets.
• Partner with business stakeholders to solve complex problems.
• Communicate findings through visualizations and executive presentations.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Strong foundation in statistics, machine learning, and data analysis.
• Proficiency in Python, SQL, and analytical tools.
• Experience working with large datasets and predictive modeling.
• Excellent problem-solving and communication skills.

Nice to Have

• Experience with causal inference and experimentation.
• Knowledge of cloud-native analytics platforms.
• Familiarity with NLP, recommendation systems, or forecasting.
• Experience in enterprise analytics environments.