About this opportunity
S27a lists this Data Scientist opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Company Overview
VapTales is a Generative AI platform focused on agentic orchestration and enterprise-scale workflows. We partner with major global enterprises 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.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.