Ecommerce Senior Data Scientist

Smart It; Xico; Presencial; MXN 1,093,000 - 1,458,000; Jornada completa

Descripción de la vacante

A technology solutions provider in Veracruz is seeking an experienced Senior Data Scientist to enhance Sales and Customer Success efficiency through AI/ML solutions. The successful candidate will design and build machine learning models and mentor junior team members. With at least 5 years of experience in data science and expert knowledge in SQL and Python, you will contribute to a high-performing team aimed at driving profitable growth through data-driven insights.

Formación

• 5+ years experience in data science with multiple models deployed in an operational setting.
• Expert level knowledge in SQL and Python programming.
• 2+ years of experience leading data science initiatives.

Responsabilidades

• Design and build machine learning and statistical models.
• Query, organize, integrate and clean data from multiple sources.
• Mentor more junior data scientists and analysts.

Conocimientos

Data Science

Machine Learning

SQL

Python

Communication

Herramientas

TensorFlow

PyTorch

DBT

Git/GitHub

Descripción del empleo

Join Smart IT in collaboration with our client to help millions of businesses Grow Better.

We are seeking an experienced Senior Data Scientist to improve the efficiency of Sales and Customer Success teams through scalable AI / ML solutions.

You will be joining a high-growth, high-powered team of Analytic Engineers, Data Scientists, and ML Engineers that deeply values intellectual curiosity, collaboration, and business impact.

Team : The team consists of Data Scientists and PM + Support teams of Data Engineers and Analytics. Design and build machine learning and statistical models that improve the performance of go-to-market teams; Identify and mature data sources that will further data science and business analytics.

The Renewal Complexity Score is a composite metric that integrates sophisticated commercial data (e.G., The score ensures human Contract Managers (CMs) focus on the most complex, high-risk renewals, while low-complexity accounts are automatically routed to efficient self-service or AI Agent experiences.

The Credit / Value Insights project is building an intelligence platform to transform renewal conversations by quantifying customer value and consumption ROI.

This platform processes credit usage and subscription data to develop proprietary models for calculating delivered value.

It surfaces automated, real-time "Value Realization" insights and peer-based benchmarks directly within the CM's workflow.

This is critical for enabling data-driven, value-based negotiation and identifying expansion opportunities, fundamentally driving profitable growth during the renewal cycle.

Expert knowledge on a breadth of machine learning techniques (classical, deep learning, GenAI) and a thorough understanding of the best approach to use for a given situation

Execute ad-hoc analytical experiments to rigorously test potential solutions and strategies, as well as identify potential business opportunities

Query, organize, integrate and clean data from multiple sources including both structured and unstructured data

Mature the data science practice by contributing to initiatives such as improving internal feature stores or building new infrastructure capabilities

Evangelize and drive adoption of the various data and AI products that you develop

Mentor more junior data scientists and analysts

• 5+ years experience in data science with multiple models deployed in an operational setting
• Expert level knowledge in SQL and python programming (experience with DBT a plus)
• Proficient using version controls systems (git / github)
• Ability to effectively communicate data science concepts and results to non-technical audiences
• Ability to use data to persuasively present to senior management to inform strategic decision making
• 2+ years of experience leading data science initiatives
• Experience using a deep learning python framework (tensorflow, pytorch, etc)
• English