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Open nowPosted yesterday

Cientista de Dados Sênior

IBM2,541 open roles

Where
NO City, BR
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Your applicationOpen nowCientista de Dados SêniorIBM · NO City, BR

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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. IBM postings stay open a median of 7 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted yesterday

IBM median: 7 days open

The posting

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

As a Data Scientist with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes.

Your primary responsibilities will include:

• Develop Predictive Models: Utilize mathematical optimization, discrete-event simulation, rules programming, and predictive analytics to forecast trends and suggest optimizations for improved business outcomes.

• Analyze Diverse Data Types: Effectively manage and analyze diverse data types and structures, ensuring data-driven decision-making and business optimization.

• Implement Data Visualization: Use data visualization tools like Matplotlib, Seaborn, and Plotly to communicate insights and recommendations to stakeholders.

• Apply Machine Learning Techniques: Apply machine learning, statistical modeling, and custom models to solve business problems in areas like supply chain management, pricing, risk assessment, and fraud detection.

• Optimize Business Outcomes: Use optimization tools like IBM CPLEX and Gurobi to identify opportunities for business improvement and implement solutions.

  • Solid experience in Data Science and advanced data solutions within enterprise environments with strong proficiency in Python for analytics, data processing, and solution development;
  • Hands-on experience with PySpark and Apache Spark;
  • Advanced knowledge of the Hadoop ecosystem, including Hive;
  • Experience with Apache Kafka and Event-Driven Architectures;
  • Experience orchestrating data pipelines and workflows using Apache Airflow;
  • Knowledge of Kubernetes and distributed computing environments;
  • Experience designing and evolving enterprise Data Platforms;
  • Strong understanding of Data Governance, data quality practices, and Metadata Management;
  • Experience implementing data observability concepts and frameworks;
  • Ability to provide technical leadership and support architectural decisions related to data ecosystems;
  • Experience supporting clients within the Banking or Financial Services industry;
  • Advanced SQL expertise;
  • Experience with ETL and data integration frameworks;
  • Background working with Data Warehouse solutions;
  • Experience with IBM DataStage;
  • Knowledge of Google BigQuery;
  • Experience with DBT (Data Build Tool);
  • Exposure to BI & Analytics initiatives;
  • Experience with cloud-based data modernization and enterprise data transformation programs;

Uma carreira na IBM Consulting é construída sobre relacionamentos duradouros com clientes e colaboração próxima em todo o mundo. Você trabalhará com empresas líderes em diversos setores, ajudando-as a moldar suas jornadas de nuvem híbrida e IA. Com o suporte de nossos parceiros estratégicos, a robusta tecnologia IBM e a Red Hat, você terá as ferramentas para impulsionar mudanças significativas e acelerar o impacto para os clientes. Na IBM Consulting, a curiosidade impulsiona o sucesso. Você será encorajado a desafiar a norma, explorar novas ideias e criar soluções inovadoras que entregam resultados reais. Nossa cultura de crescimento e empatia foca no seu desenvolvimento de carreira a longo prazo, valorizando suas habilidades e experiências únicas.

Como Cientista de Dados com habilidades em Análise Avançada, você alavancará sua profunda expertise em dados e análise, combinada com forte visão de negócios, para enfrentar desafios empresariais. Você utilizará preparação, análise e modelagem preditiva de dados para prever tendências e sugerir otimizações que melhorem os resultados do negócio.

Suas principais responsabilidades incluirão:

• Desenvolvimento de Modelos Preditivos: Você utilizará otimização matemática, simulação de eventos discretos, programação baseada em regras e análise preditiva para prever tendências e sugerir otimizações que melhorem os resultados do negócio.

• Análise de Dados Diversificados: Você gerenciará e analisará diferentes tipos e estruturas de dados, garantindo a tomada de decisões baseada em dados e a otimização dos negócios.

• Implementação de Visualização de Dados: Você usará ferramentas de visualização de dados como Matplotlib, Seaborn e Plotly para comunicar insights e recomendações aos stakeholders.

• Aplicação de Técnicas de Machine Learning: Você aplicará machine learning, modelagem estatística e modelos personalizados para resolver problemas de negócios em áreas como gestão da cadeia de suprimentos, precificação, avaliação de riscos e detecção de fraudes.

• Otimização de Resultados do Negócio: Você utilizará ferramentas de otimização como IBM CPLEX e Gurobi para identificar oportunidades de melhoria nos negócios e implementar soluções.

  • Sólida experiência em Ciência de Dados e soluções avançadas de dados em ambientes corporativos com prproficiência em Python para desenvolvimento de soluções analíticas e processamento de dados;
  • Experiência prática com PySpark e Apache Spark para processamento distribuído;
  • Conhecimento avançado do ecossistema Hadoop, incluindo Hive;
  • Experiência com Apache Kafka e implementação de arquiteturas orientadas a eventos (Event-Driven Architecture);
  • Vivência com Apache Airflow para orquestração de workflows e pipelines de dados;
  • Conhecimento em Kubernetes e ambientes distribuídos de alta disponibilidade;
  • Experiência na construção e evolução de Data Platforms corporativas;
  • Conhecimentos de Governança de Dados, qualidade de dados e gestão de metadados;
  • Experiência com práticas de observabilidade aplicadas a plataformas de dados;
  • Capacidade de atuar como referência técnica, apoiando decisões arquiteturais e melhores práticas de engenharia de dados;
  • Experiência em projetos ou atendimento a clientes dos segmentos bancário e financeiro;
  • Conhecimento avançado em SQL;
  • Experiência em processos ETL e integração de dados;
  • Vivência em ambientes de Data Warehouse;
  • Experiência com IBM DataStage;
  • Conhecimento em BigQuery;
  • Experiência com DBT;
  • Atuação em iniciativas de BI & Analytics;
  • Experiência com modernização de plataformas de dados e estratégias de dados em nuvem;
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