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Staff Data Scientist at VTEX

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Experience with ML pipelines frameworks, Fluent in experiment design and analysis, Proficient in handling big data, Knowledge of Python or similar languages, Understanding of production-level ML/AI deployments.

Key responsabilities:

  • Translate business opportunities into technical solutions
  • Drive initiatives from research to implementation
  • Bridge stakeholders to apply AI effectively
  • Lead AI/ML efforts across VTEX products
  • Advocate for data-informed decision-making
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VTEX
1001 - 5000 Employees
See more VTEX offers

Job description

ABOUT THE ROLE 

The Staff Data Scientist on Core AI team is an experienced professional skilled at translating business opportunities into technical solutions using ML/AI modeling, statistical data analysis and experiment design. They are a hands-on developer, capable of driving initiatives from research to implementation of production-ready models. This role also involves acting as a bridge between stakeholders, facilitating understanding, and guiding pragmatic approaches to applying AI in different use cases, while advocating for data-informed decisions.

ABOUT THE TEAM

You will be part of our Core AI team, the team responsible for building, managing, improving and scaling AI capabilities across VTEX. Alongside the team, you will lead efforts to leverage AI/ML solutions to reach the next level of VTEX products and seize strategic opportunities for our customers and business.

WHO YOU ARE

  • You have experience building ML pipelines using frameworks like Scikit-learn, PyTorch, Tensorflow or similar;
  • You are fluent in designing experiments with statistical rigor, such as A/B tests and data generation experiments;
  • You have experience handling big data for analysis, feature engineering and evaluating experiment results;
  • You understand differences between research and production-level code, in Python or similar;
  • You understand key requirements for deploying and maintaining ML/AI models in production environment;
  • You have strong communication skills, enabling you to simplify complex technical concepts into actionable insights, while effectively listening and learning from diverse points of view;
  • You enjoy collaboration, supporting colleagues and building products that customers love;
  • Plus
    • Experience in Search, Recommendation or Ads;
    • Experience applying LLMs using frameworks like LangChain, LangGraph, CrewAI, LlamaIndex or similar;
    • Experience in MLOps;
    • Experience developing low latency APIs.
#LI-Remote 

About VTEX

VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,600 global B2C and B2B clients, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,500 active online stores across 43 countries (as of FY ended on December 31, 2023). For more information, visit www.vtex.com.

At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together.

Benefits

  • Financial assistance to build your work-from-home setup
  • Annual profit-sharing program and equity eligibility
  • Health, dental, and life insurance with national coverage
  • Flexible work schedule
  • Meal allowance
  • Child-care assistance
  • Extended parental leaves
  • Wellness program
  • Annual budget for professional development
  • Language development program (English, Spanish, Portuguese)
  • Free shipping on 1000+ VTEX stores

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Collaboration

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