Encora Inc.
Kdb Instituicao De Pagamento S.A.
Encora Inc.
Manpower
ília
Indi Staffing Services
Porto
Mercado Eletrônico
Liga-te a headhunters e candidata-te a empregos semelhantesMercado Eletrônico
Banco Bv
LEROY MERLIN BR
White Martins
Uds Tecnologia
Catez Agência De Viagens E Turismo Ltda
Ticket Log
Interglobe Turismo
BairesDev
Empresa Confidencial
findojobs
G&G Empreendimentos
JF MULTI SERVICOS DE EMPREGOS LTDA
FHO | Fundação Hermínio Ometto
Aurora Coop
A leading technology services company is seeking a Full-time remote position focused on machine learning and statistical models. The ideal candidate will work with a high-skilled team, implement models via DAGs, and evaluate performance. Essential skills include a Bachelor's degree in relevant fields and hands-on experience in statistical analysis and Python programming. Knowledge of SQL and DAG implementation is crucial. The work environment is dynamic, emphasizing collaboration and technical discussions using English.
Important Information Location : Brazil
Job Mode: Full-time
Work Mode: Work from home
Leverage accurate model architecture and documentation.
Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.