6.516 Empregos para Data Scientist - Brasil

Required Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience building and deploying ML models in enterprise environments.
• Proficiency in PySpark , Python, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with Databricks , Azure ML , AWS SageMaker , or Google Vertex AI .
• Strong coding skills and experience with scalable data workflows and model deployment.
• Familiarity with GenAI , LLMs , and NLP techniques.
• Ability to work independently and manage priorities in a fast-paced environment.
• Availability to support meetings or calls outside standard working hours as needed.

Preferred Skills:

• Experience with time-series demand forecasting , margin-aware modeling , text summarization, and stock-based recommendations .
• Exposure to multi-modal data and personalization strategies across digital ecosystems.

We are seeking a highly capable Data Scientist to help build and scale enterprise-grade AI/ML products within our centralized Data Science team. This role focuses on developing intelligent, production-ready solutions that power personalization, forecasting, and automation across our digital platforms. The ideal candidate is a strong problem-solver, able to work independently, and comfortable supporting collaboration across time zones—including occasional calls outside standard working hours.

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data -driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data -driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data -driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data -driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

Job Summary:

Client is seeking a hands-on Applied ML / Application Engineer to support a global manufacturing organization focused on process chemical manufacturing. This is a critical role that sits at the intersection of data science, machine learning, and manufacturing operations. The ideal candidate understands how to apply data science principles in a production environment and can work closely with both business and operational teams to drive value through anomaly detection, yield optimization, and process improvements.

Note: Preference is local Curitiba Brazil for sporadic onsite visits.

Responsibilities:

• Collaborate with business stakeholders, manufacturing engineers, and data teams to translate operational challenges into ML-driven solutions.
• Utilize existing ML models (and adjust where necessary) to support yield improvement, root-cause analysis, and anomaly detection.
• Understand contextual asset and process data to build digital threads across manufacturing workflows.
• Act as a bridge between the manufacturing floor and data/ML teams—communicating technical concepts in a way that's digestible to non-technical stakeholders.
• Work with data from multiple systems including MES, QMS, LIMS, process historians, and time series platforms.
• Learn and leverage TwinThread platform to operationalize and deploy ML models.
• Collaborate with engineering teams on data ingestion and pipeline development when necessary.
• Support visualization efforts that convey model insights and drive data-driven decision making.
• Ensure models align with existing ISA-95 / ISA-88 architectures across batch and continuous processing environments.

Experience:

• 3–7 years’ experience in applied ML / data science / data engineering roles, preferably in a process manufacturing or chemical manufacturing setting.
• Background in chemical engineering, industrial automation, or manufacturing systems.
• Knowledge of ISA-95 / ISA-88 standards
• Strong understanding of manufacturing operations, particularly continuous and batch processing systems.
• Proven experience with anomaly detection, predictive maintenance, or yield optimization in an industrial context.
• Familiarity with time-series data, process historians, QMS, LIMS, MES, and related systems.
• Comfortable interacting with both business stakeholders and hands-on operational staff; strong communication and stakeholder engagement skills.
• Experience working with TwinThread or similar industrial AI platforms a strong plus (willingness to learn is acceptable).
• Experience with data visualization tools and storytelling with data.
• Familiarity with cloud platforms and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) is beneficial but not essential.

Nice to Have:

• Experience with model deployment in production systems.
• Exposure to digital twin or digital thread concepts.
• English and Portuguese speaking (they have translators if not)

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data -driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data -driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data -driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data -driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Work Spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

Valorizamos a candidatura de Pessoas com deficiência, Pessoas negras, Pessoas LGBTI+, Pessoas 45+ e Mulheres

Responsabilidades e atribuições

Responsável por analisar e interpretar grandes quantidades de dados de uma variedade de fontes, usando ferramentas algorítmicas, de mineração de dados, inteligência artificial, aprendizado de máquina e estatísticas, a fim de torná-los acessíveis à empresa.

Principais Atividades:

• Gerar indicadores e insights para acompanhamento do resultado de políticas, estratégias e modelos a partir da extração de dados brutos;
• Suportar a área de Crédito na tomada de decisão e soluções baseadas em dados;

• Realizar Data mining e identificação padrões de comportamento para otimizar os resultados;
• Realizar Data quality, manutenção do Data lake e preparação das bases de dados para o desenvolvimento dos modelos.
• Desenvolver modelos estatísticos para área de Crédito e Fraude: Credit scores, behaviour scores, utilizando as técnicas estatísticas mais adequadas.
• Analisar novas fontes de dados internas e de mercado para oportunidades em modelo de previsão de inadimplência.

Requisitos e qualificações

Experiência em desenvolvimento de modelos estatísticos para previsão de inadimplência, desenvolvimento de modelos com técnicas estatísticas tradicionais e machine learning. Experiência com manipulação de grandes bases de dados e criação de dashboards/acompanhamento de KPIs.Conhecimento avançado de linguagem SQL, Big query, SAS ou similar, Power Bi, pacote Office.

Desejável conhecimento na área de crédito e fraude, modelagem e estruturação de dados, Python e R.

Formação superior completa em: Estatística, atuária ou matemática.

Informações adicionais

Na TIM, o seu bem-estar é o nosso bem-estar, por isso o programa Conexão Bem + Estar tem o propósito de fortalecer o cuidado genuíno da TIM com o TIMe e suas famílias, por meio de iniciativas práticas em diversas frentes para todos e todas estarem sempre bem, na vida pessoal e profissional.

Fique por dentro dos nossos benefícios:

• Programa de Benefícios Flexíveis
• Assistência Médica e Odontológica *
• Benefício Medicamentos *
• Wellhub (ex-Gympass) *
• Vale Alimentação e/ou Refeição
• Programa de Bem-Estar Financeiro
• Previdência Privada
• Aparelho celular com Internet Ilimitada e franquia de Voz
• Convênios e Parcerias com mais de 3.000 empresas e instituições, incluindo parcerias para desconto na sua conta de luz e internet banda larga
• Curso de inglês online extensível a 1 familiar ou amigo
• Programa de Treinamento e Capacitação Internos
• Participação nos Lucros
• Meu primeiro benefício - Auxílio para filhos até 2 anos de idade
• Reembolso Creche (para pais ou mães)
• Modelos de trabalho e jornada flexíveis
• Happy Day - Dia de folga no mês do aniversário
• Licenças estendidas para maternidade, paternidade, casamento e adoção
• Vale Transporte

E outros

• Extensível a dependentes legais

É ter MAIS sintonia com todo o TIMe e se conectar com o que acreditamos. É aprender novas formas de oferecer ao mundo um trabalho com MAIS propósito.

É o que nos move a fazer MAIS e melhor. É desenvolver habilidades com criatividade e transformar tecnologia em MAIS liberdade.

É imaginar as possibilidades com MAIS inovação, conectando todas as pessoas, com respeito e agilidade.

É uma cultura cada vez MAIS essencial par o nosso dia a dia. É criar um impacto MAIS positivo sendo quem você é.

Vem ser você e fazer parte de um TIMe que tem a coragem para inovar, a liberdade de tentar e a vontade para fazer a diferença na vida das pessoas.

Isso significa que temos um ambiente positivo de desenvolvimento, oportunidades e inclusão. São o reconhecimento de que fazemos a diferença na vida das pessoas. Vamos continuar trabalhando, desenvolvendo as melhores práticas do mercado e evoluindo junto com nosso TIMe.

Juntos, #SomosMaisNaTIM

Confira nossas oportunidades em outras áreas

Acesse os links abaixo e explore mais vagas disponíveis.

About The Opportunity
A Avenue Code é a consultoria de software líder focada em fornecer soluções de desenvolvimento ponta a ponta para transformação digital em todos os setores. Somos uma empresa de capital fechado, lucrativa e temos uma trajetória de crescimento sólida desde o primeiro dia. Nos importamos profundamente com nossos clientes, parceiros e nossa equipe. Preferimos a palavra "parceiro" a "fornecedor", e nosso investimento em relacionamentos profissionais é um reflexo dessa filosofia. Nos orgulhamos de nossa perspicácia técnica, nossa capacidade colaborativa de resolução de problemas e do profissionalismo caloroso de nossas equipes.

Sobre a Oportunidade
Estamos em busca de uma pessoa talentosa e apaixonada por inovação para se juntar ao nosso time como
Engenheiro(a) de IA
. Essa posição terá papel estratégico no desenvolvimento e implementação de soluções baseadas em
Modelos de Linguagem de Grande Porte (LLMs)
e outras tecnologias de ponta em IA.

Responsibilities
Principais Responsabilidades

• Desenvolver, implantar e manter soluções de IA com foco em LLMs e compreensão de linguagem natural;
• Projetar e implementar aplicações robustas e de alto desempenho utilizando FastAPI;
• Realizar análises de dados avançadas e aplicar modelagem para garantir eficiência, escalabilidade e confiabilidade dos sistemas;
• Colaborar com equipes de engenharia, produto e design para alinhar iniciativas de IA aos objetivos da empresa;
• Preparar e conduzir apresentações técnicas;
• Manter-se atualizado(a) sobre tendências e avanços em IA e Machine Learning, explorando novas ferramentas e metodologias;
• Identificar oportunidades de melhoria de processos e propor soluções escaláveis para desafios técnicos complexos.

Required Qualifications
Qualificações & Habilidades Técnicas

• Proficiência em Python é essencial, com ampla experiência na construção de sistemas sofisticados em ambientes intensivos em dados;
• Experiência prática com frameworks web, particularmente FastAPI, e familiaridade com seus princípios, melhores práticas e ferramentas associadas;
• Experiência comprovada com Modelos de Linguagem de Grande Porte, incluindo ajuste fino, customização e implantação para casos de uso específicos;
• Habilidades em Prompt Engineering;
• Sólida base em algoritmos de aprendizado de máquina, estruturas de dados e sistemas distribuídos;
• Experiência com plataformas de nuvem (como AWS, Azure, GCP) e tecnologias de conteinerização (ex.: Docker, Kubernetes).

Nice To Have Skills

• JavaScript e NodeJS.
• Desenvolvimento de modelos de regressão, classificação, clusterização e recomendação, desde a concepção até a produção.
• Exploração, treinamento e implantação de modelos com dados estruturados (tabelares) e não estruturados (texto, imagem).
• Experiência com MLOps, monitoramento de dados e modelos, pipelines, CI/CD, explicabilidade e monitoramento de métricas de negócio e de modelos.
• Experiência com IA Generativa e Modelos de Linguagem de Grande Porte, como ChatGPT e frameworks open source.
• Experiência com sistemas e frameworks distribuídos em larga escala.
• Manipulação de dados: Pandas, PySpark, SQL.
• Modelagem & Deploy: Sklearn, TensorFlow, PyTorch, HuggingFace, PyCaret.
• API: Flask, FastAPI.
• Operacionalização: VertexAI, SageMaker, Kubeflow, GitLab, MLflow.

A Avenue Code reforça seu compromisso com a privacidade e com todos os princípios assegurados pelas legislações de proteção de dados mais rigorosas do mundo, como GDPR, LGPD, CCPA e CPRA. Os dados dos(as) candidatos(as) compartilhados com a Avenue Code serão mantidos sob confidencialidade e não serão transmitidos a terceiros não envolvidos, nem utilizados para fins específicos do processo de candidatura às posições em aberto. Para se tratar de uma empresa de consultoria, a Avenue Code poderá compartilhar suas informações com seus clientes e com outras empresas do Grupo CompassUol, às quais os(as) consultores(as) da Avenue Code estão alocados para a prestação de serviços.

Who are we?

Amaris Consulting
is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call
: Our process typically begins with a brief virtual/phone conversation to get to know you The objective? Learn about you, understand your motivations, and make sure we have the right job for you

Interviews
(the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities

Case study
: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.

We look forward to meeting you

Job Description
We are looking for a highly skilled and versatile
Data Scientist
to join our advanced analytics team. In this role, you will design, develop, and deploy
recommendation systems
,
time series forecasting models
, and
machine learning solutions
based on
boosting and decision tree algorithms
. You will work closely with cross-functional teams to turn data into actionable insights and scalable solutions.

Key Responsibilities:

• Develop and optimize recommendation systems (collaborative filtering, content-based, hybrid approaches)
• Build and validate time series forecasting models using traditional and machine learning techniques (ARIMA, Prophet, LSTM, etc.)
• Implement boosting algorithms (XGBoost, LightGBM, CatBoost) and decision trees for various supervised learning tasks
• Collaborate with data engineers and ML engineers to deploy models on Azure and Databricks environments
• Perform data exploration, feature engineering, and model evaluation
• Present findings and models clearly to technical and non-technical stakeholders
• Stay up to date with the latest tools and methodologies in applied machine learning

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field
• Proven experience with recommender systems and time series models
• Strong knowledge of boosting algorithms and decision trees
• Proficiency in Python and libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with Azure cloud services and Databricks
• Strong problem-solving skills and ability to work independently
• Fluent in English (spoken and written)

Amaris Consulting prides itself on being an equal opportunities workplace. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.