TTECH

Data Scientist Consultant – AI, Prompt Engineering, Big Data

TTECH

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • 🇧🇷 Brazil

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Job Level

Mid-LevelSenior

Tech Stack

AzureHadoopNumpyPandasPythonScikit-LearnSpark

About the role

  • Perform exploratory analyses and modeling to support the NLP squad's decision-making.
  • Ensure the squad adopts best practices: evaluation, data versioning, and reproducible experiments.
  • Develop the team (especially junior and mid-level members) in applied NLP and AI — provide technical leadership.
  • Interface with the business area, aligning stakeholder expectations.
  • Lead complex discussions without creating misunderstanding or fear of AI.
  • Make decisions between rules vs. models, small models vs. LLMs, and training vs. buying solutions.
  • Understand that value lies in the pipeline, not in the model alone.
  • Anticipate impacts on cost, latency, observability, LGPD (Brazilian Data Protection Law), and scalability.
  • Design for maintenance and evolution, not just proofs of concept (POC).
  • Question simplistic metrics (isolated accuracy, attractive demos).

Requirements

  • Strong command of Python for data science (pandas, numpy, scikit-learn, etc.).
  • Experience with prompt engineering and use of language models (LLMs/SLMs).
  • Familiarity with generative AI frameworks (LangChain, Hugging Face, OpenAI APIs, etc.).
  • Experience with Big Data environments (Spark, Hadoop, Databricks, etc.).
  • Experience with code versioning (Git, Azure) and software development best practices.
  • Strong communication skills to exchange ideas across different areas.
  • Proactive in proposing solutions and structuring new approaches.
  • Ability to work collaboratively and adaptively.
  • Encourage best practices: evaluation, data versioning, reproducible experiments.
  • Inclusive leadership.
  • Plus: Experience in complex architecture projects involving more than 50 people.
  • English or Spanish for communication with major American and Spanish Big Techs.
  • Academic experience.
  • Publications or participation in applied research projects.
  • Experience experimenting with AI and NLP architectures.
Benefits
  • Choose the ideal benefits for you and your dependents through a digital platform offering categories such as Gym, Meal Voucher (VR), Food Allowance (VA), Pharmacy Assistance, Health Insurance, Dental Care and Life Insurance;
  • Company mobile phone. Yes, a brand-new smartphone for you!
  • Unlimited voice and data plan! Yes, unlimited! On the best mobile network, even faster with Vivo 5G!
  • Exclusive Vivo offer with special discounts on landline, broadband, TV and apps;
  • Eligible for an annual Bonus or PPR;
  • Plan for your future through a private pension plan;
  • Have children? You will be entitled to a subsidy to help with school, daycare or nanny expenses;
  • Work in an environment that respects your personality, dress style, and individuality, allowing you to be authentic.
  • Work remotely up to 2 days per week. #Mobility
  • Flexible working hours;
  • Enjoy a day off to celebrate your birthday;
  • Participate in one of the largest corporate volunteer programs to make an impact;
  • Benefit from our Educational Development Program offering partnerships with educational institutions at discounts; certifications and online courses.
  • Boost your career through our Internal Recruitment Program, in Brazil or abroad — we are present in over 17 countries! #VivoMinhaCarreira
  • Access a range of initiatives to improve your physical, emotional and social well-being! We have #VivoWellbeing, which promotes healthy habits and quality of life. Services available to employees include consultations with nutritionists, psychologists, social workers, telemedicine, and much more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythonpandasnumpyscikit-learnprompt engineeringlanguage modelsgenerative AI frameworksBig DataSparkHadoop
Soft skills
communication skillsproactivecollaborativeadaptiveinclusive leadership