Stone - Linkedin

Data Scientist II | Estratégia e Crédito

Stone - Linkedin · Remoto

Posted 16 days ago

or apply directly on Stone - Linkedin's site. We never take the application ourselves.

Is this posting real?

This role has been open
16 days
Stone - Linkedin's roles stay open a median of 30 days
Reposted
No
Salary listed
No
0% of Stone - Linkedin's roles list one
Ghost-job risk at Stone - Linkedin
high
148 stale, 12 reposted of 412 open
Hiring momentum
786 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Stone - Linkedin's own greenhouse board since 2026-08-03. Full hiring picture for Stone - Linkedin.

About this role

As a Data Scientist II at Stone, you will work within the Data Science team focusing on strategy and credit. Your daily tasks will involve developing, implementing, and evolving predictive models for various business needs, including credit risk and churn, while ensuring the quality and scalability of these models through clean coding and robust data pipelines.

Our read on this posting3.6out of 5
benefits
5/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Stone - Linkedin as an employer.

What you need

  • Experiência prática no desenvolvimento de modelos preditivos com ML e estatística.
  • Boa base em estatística e modelagem (validação, calibração, discriminação e estabilidade de modelos).
  • Fluência em Python e nas principais bibliotecas de ML (Scikit-learn, XGBoost/LightGBM, Pandas).
  • Comunicação clara e proativa para reportar o progresso das suas análises, tirar dúvidas com o time técnico e apresentar resultados básicos de forma objetiva.

Nice to have

  • Experiência com crédito, risco ou serviços financeiros.
  • Domínio de SQL e experiência com grandes volumes de dados (Spark, Databricks, BigQuery).

What you get

  • Salário Fixo
  • Pacote de Remuneração Variável* (PLR, ILP ou Comissão - disponibilizado conforme a elegibilidade do cargo, não sendo um modelo de livre escolha)
  • Plano de Saúde e Odontológico com coparticipação (exceto para profissionais com deficiência que não possuem coparticipação)
  • Hospital Virtual Verde: equipe de telemedicina disponível 24 horas por dia, 7 dias por semana
  • Subsídio de medicamentos
  • Vale Refeição e/ou Vale Alimentação - Pluxee* (exceto para cargos de Executivo(a) Comercial - 6hrs)

Worth weighing

  • No salary figures provided beyond fixed salary.
  • The role is hands-on and requires technical execution, which may not suit those looking for strategic or managerial positions.
  • The job involves working with potentially large datasets, which may require strong data handling skills.

Summarised from Stone - Linkedin's posting. Read the full original.

Listed by Stone - Linkedin on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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