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You will work with data from multiple sources and collaborate with engineering/product teams to transform business needs into measurable, reliable, and scalable systems—with attention to **quality, cost, and performance**.\n\n **Responsibilities and duties** \n\n* Participate in defining and validating data- and experiment-driven business hypotheses;\n* Design and execute advanced analyses, metrics, and evaluation strategies for agents (e.g., golden set, regression testing, failure analysis);\n* Build and maintain data pipelines and training/testing datasets, focusing on reproducibility and quality;\n\nDevelop and fine-tune ML models when necessary (baseline* production), and integrate them with generative AI solutions;\n* Support the design and improvement of RAG: chunking strategy, metadata, deduplication, ranking signals, knowledge base updates;\n* Implement and monitor observability: structured logs, quality metrics, dashboards, and alerts;\n* Collaborate with engineering and product teams on architecture definition, requirements, trade-offs, and roadmap;\n* Review PRs, share knowledge, and mentor less experienced team members.\n\n \n\n**Requirements and qualifications** \n\n* Advanced proficiency in Python and SQL (CTEs, window functions, basic optimization);\n* Solid foundation in applied statistics and evaluation (metrics, biases, tests, interpretation);\n* Practical experience in Machine Learning (training and validation, feature selection, metrics, deployment, and integration);\n* Experience with engineering best practices: versioning, testing, documentation, and observability;\n* Ability to structure problems and make decisions involving trade-offs (quality vs. latency vs. cost);\n* Experience working in cloud environments (AWS/GCP/Azure) and/or production pipelines.\n\n **Preferred qualifications**\n\n \n\n* Experience with **generative AI**, RAG, and agents (prompting, tool-use, memory, guardrails);\n* Experience with embeddings and vector search mechanisms (FAISS, pgvector, Milvus, Pinecone);\n* MLOps: experiment tracking (MLflow/W&B), CI/CD for models, drift monitoring;\n* Construction of evaluation datasets and labeling (process, guidelines, agreement);\n* Experience with A/B testing and product experimentation;\n* Experience with data warehouse/lake and orchestration (Airflow, Prefect, Dagster);\n\n **Languages**\n\n \n\n* Advanced English (reading documentation and research papers).\n\n **Academic background**\n\n \n\n* Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.\n\n **Soft skills**\n\n **Communication and collaboration**\n\n \n\n* Strong communication skills to clearly explain technical analyses and results to non-technical audiences.\n* Ability to collaborate effectively within multidisciplinary teams (data, product, engineering).\n\n **Learning and growth**\n\n* Intellectual curiosity and continuous learning—especially in generative AI and agents.\n* Openness to feedback and ongoing technical development.\n\n **Organization and accountability**\n\n \n\n* Attention to detail and rigor regarding data and documentation quality.\n* Ability to follow processes and best practices (versioning, code review, documentation).\n\n **Professional attitude**\n\n \n\n* Proactivity in identifying improvements to data, pipelines, and evaluations [whenever possible].\n* Resilience and patience to handle experimentation, errors, and iteration.\n* Ethical stance in the use of data and AI models.\n* Ability to lead small initiatives and onboard new team members.\n\n \n\n**Additional information** \n\nHybrid work opportunity in **Recife-PE**.\n\n **What we expect from all \\#SiDiers:**\n\n \n\nEmbrace the new\n\n\nMaintain open and direct dialogue\n\n\nContinuously develop\n\n\nAlways do your best\n\n\nBuild in partnership\n\n\nThink big, move fast\n\n **What we offer?**\n\n* **Work-life balance:** 40-hour weekly schedule under CLT regime, flexible hours with hybrid work (4 days in-office, 1 day remote);\n* **Well-being:** Gympass (WellHub, Workplace Gymnastics, Quick-massage, Psychological Support);\n* **Health:** Medical and dental insurance for you and your family;\n* **Children:** Daycare allowance for miniSiDiers, 120-day maternity leave, extended paternity leave;\n* **Future:** SiDi co-invests with you in private pension;\n* **Education:** Study incentive program for continued education and specialization; language fluency support; weekly lecture cycles on global *trend topics*;\n* **Meals:** Flexible meal and food allowances;\n* **Transportation:** Transportation subsidy/reimbursement to SiDi and parking for those working in the office;\n* **Recognition:** Annual performance bonus and awards for SiDiers who achieve outstanding results;\n* **Diversity:** Committees on Well-being, Diversity, Mental Health, Social Impact, Sustainability, and Women in Tech;\n* **Modern offices:** Relaxed, collaborative environments with social areas, decompression rooms, pantries, and coffee machines;\n* **Want more?** Dozens of partnerships offering benefits and discounts!\n\n \n\nFor us, inclusion isn’t just about adding one more person to our team—it’s about embracing differences and unique perspectives. It is precisely this blend of techniques, skills, and stories that inspires us to align diverse viewpoints toward a shared horizon—always moving forward.\n\n\nWe operate in an environment of equal opportunity, regardless of gender, sexual orientation, religion, or disability.\n\n **All our positions are open to people with disabilities (PCDs).**\n\n \n\nJOB CODE: 5647 - N2\n\n **We are one of Brazil’s largest science and technology institutes—and with over 800 growing SiDiers, we’re already present in Campinas, Manaus, and Recife: Brazil’s largest technology and innovation parks.** Because those who aspire to build projects that transform the world cannot stop transforming themselves. 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The professional will work daily with data from various sources and of the most diverse types, building solutions through data analysis techniques, machine learning models, reports, and dashboards\n\n **Responsibilities and duties** \n\n* Strong foundation in applied statistics: distributions, mean/variance, correlation, sampling, basic hypothesis testing concepts, confidence intervals, and interpretation of results;\n* Practical knowledge of supervised Machine Learning: regression and classification, trees/ensembles (Random Forest/Gradient Boosting), metrics (AUC, F1, Precision/Recall, RMSE/MAE), validation (train/val/test, cross-validation), overfitting/underfitting, and regularization;\n* Hands-on experience with Python for Data Science (Pandas, NumPy, scikit-learn) and notebooks (Jupyter/Colab);\n* Intermediate SQL knowledge for data extraction and analysis;\n* Basic feature engineering: handling missing values, encoding, scaling, outlier detection, and feature creation;\n* Basic NLP knowledge: text preprocessing and tokenization, text representation (TF-IDF, embeddings), common tasks (classification, similarity), basic metrics;\n* Basic Deep Learning knowledge: concepts (loss, backpropagation, regularization), when DL makes sense compared to traditional models (trade-offs);\n* Ability to communicate insights: clear visualizations and storytelling for both technical and non-technical audiences;\n* Good minimal engineering practices: Git, code organization, basic documentation, and reproducibility.\n\n \n\n**Requirements and qualifications** **Differentiators**:\n\n \n\n* Initial experience with PyTorch or TensorFlow/Keras (training simple models);\n* Experience with modern NLP (Transformers at usage/experimentation level);\n* Knowledge of experiment tracking (MLflow, Weights & Biases) and/or reproducible pipelines;\n\nExperience with simple deployment (batch scoring, API, notebook* pipeline);\n* Participation in projects, publications, open-source contributions, or competitions (e.g., Kaggle), with demonstrable results.\n\n **Languages**\n\n \n\n* Intermediate English (reading documentation and research papers).\n\n **Academic background**\n\n \n\n* Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or related fields.\n\n **Soft Skills**\n\n \n\n* Willingness to learn and continuously grow, especially in data and generative AI;\n* Strong communication skills to ask questions, explain simple analyses, and share learnings with the team;\n* Organization and attention to detail when working with data and documentation;\n* Analytical thinking to understand problems and interpret results with team support;\n* Openness to feedback and technical guidance;\n* Ability to work collaboratively in a team on a day-to-day basis;\n* Proactivity in helping with tasks, testing, and simple improvements;\n* Accountability for deadlines and agreed deliverables.\n\n \n\n**Additional information** \n\nHybrid opportunity in **Recife-PE**.\n\n **What we expect from all \\#SiDiers:**\n\n \n\nEmbrace the new\n\n\nMaintain open and direct dialogue\n\n\nContinuously develop\n\n\nAlways do your best\n\n\nBuild in partnership\n\n\nThink big, move fast\n\n **What do we offer?**\n\n* **Work-life balance:** 40-hour weekly schedule under CLT regime, flexible hours with hybrid work (4 days in the office and 1 day remote);\n* **Well-being:** Gympass (WellHub, workplace gymnastics, Quick-massage, and psychological support);\n* **Health:** Medical and dental insurance for you and your family;\n* **Children:** Daycare allowance for miniSiDiers, 120-day maternity leave, and extended paternity leave;\n* **Future:** SiDi co-invests with you in private pension plans;\n* **Education:** Incentive program for continuing education and specialization, language fluency development, and weekly lectures on global *trend topics*;\n* **Meals:** Flexible meal and food vouchers;\n* **Transportation:** Transportation subsidy/reimbursement to reach SiDi and parking for those working at the office;\n* **Recognition:** Annual performance bonus and awards for SiDiers who achieved outstanding results;\n* **Diversity:** Committees focused on Well-being, Diversity, Mental Health, Social Impact, Sustainability, and Women in Tech;\n* **Modern offices:** Relaxed and collaborative environments with social spaces, decompression rooms, kitchenettes, and coffee machines;\n* **Want more?** Dozens of partnerships offering benefits and discounts!\n\n \n\nFor us, inclusion is not just about adding one more person to our team—it’s about embracing differences and unique characteristics. It is precisely this blend of techniques, skills, and stories that inspires us to align diverse perspectives toward the same horizon—always moving forward.\n\n\nWe operate in an environment of equal opportunity, regardless of gender, sexual orientation, religion, or disability.\n\n **All our positions are open to people with disabilities (PCDs).**\n\n \n\nJOB CODE: 5648 - N1\n\n **We are one of Brazil’s largest science and technology institutes, and with a team of over 800 SiDiers that continues to grow, we are already present in Campinas, Manaus, and Recife—the largest technology and innovation parks in Brazil.** Because those who aspire to build projects that will transform the world cannot stop transforming themselves. 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You will follow Mondelēz business and innovation processes in project management and ensure Mondelēz standards are upheld.\n\n\n**How You Will Contribute**\n\nTo ensure accurate budgets, appropriate plans, and suitable technical solutions are delivered, you will work with key stakeholders to define and deliver technical and capital agendas during the development phases of capital investment projects. You will develop capital budgets aligned with contract terms and forecasted cash flow, ensuring engineering developments and standards are implemented, and support the development and implementation of state-of-the-art equipment processes and strategies to optimize resources, harmonize assets, and deploy best practices. 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To achieve this, we have a Diversity Committee operating across four pillars: Persons with Disabilities (PCD), Ethnic-Racial, Women, and LGBTQIAP+, and we are also part of MOVER — The Movement for Racial Equity.\n\n\n**Key Responsibilities**\n\n* Develop, schedule, implement, and commission industrial automation systems (PLCs, HMIs, SCADA systems, and industrial networks).\n* Work on automation and digitalization projects for production lines.\n* Work with acquisition, processing, and analysis of industrial data, connecting machines, systems, and databases.\n* Integrate automation systems with databases, MES/SCADA systems, and corporate platforms.\n* Work with industrial data networks, ensuring reliable communication between machines, sensors, and systems.\n* Diagnose failures, propose improvements, and optimize system performance, safety, and availability.\n* Collaborate with Production, Maintenance, IT, Engineering, and supplier teams.\n\n**Requirements**\n\n* Degree in Engineering (Automation, Electrical, Mechatronics, Computer Science, or related fields).\n* Knowledge of industrial automation (PLCs, HMIs, and SCADA systems).\n* Interest in or experience with data processing, databases (SQL or similar), and system integration.\n* Familiarity with industrial and data networks (Industrial Ethernet, Profinet, Profibus, Ethernet/IP, OPC, etc.).\n* Analytical, curious, collaborative profile with a strong willingness to learn.\n\n**Preferred Qualifications (not mandatory)**\n\n* Experience with Industry 4.0, IIoT, and industrial digitalization.\n* Experience in commissioning, line start-up, or machine retrofitting.\n* Intermediate to advanced English proficiency.\n\nMondelez International is attentive to the Future of Work and values the well-being of our people, striving to provide the best experiences. 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Our factories are located in Vitória de Santo Antão, Pernambuco state, and Curitiba, Paraná state. 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If you identify with it, dream big, and seek a professional experience that can accelerate your career, we want you on our team!\n\n\nResponsibilities and Duties:\n\n\nDesign, organize, and scale our data infrastructure, ensuring the reliability, accessibility, and performance of the information that drives strategic decisions. Collaborate with cross-functional teams to build a data-driven culture and generate real business value.\n\n* Design and evolve the company’s Data Lake, focusing on performance, scalability, and governance;\n* Connect and organize data from multiple sources (transactional databases, APIs, external partners, etc.);\n* Build and maintain efficient, reliable, and well-structured data pipelines (ETL/ELT);\n* Collaborate closely with data, software engineering, product, and business teams to ensure the right data is available at the right time;\n* Support the organization-wide adoption of a data culture by translating information into strategic insights;\n* Participate in technical decisions regarding data architecture, security, testing, and versioning;\n* Ensure organization, traceability, and consistency across data flows, with long-term maintenance and scalability in mind.\n\n\nRequirements and Qualifications:\n\n* Bachelor’s degree in Computer Science, Engineering, Information Systems, or related fields;\n* Practical experience in data engineering and Data Lake development;\n* Proficiency in ETL/ELT tools and data pipeline construction;\n* Knowledge of relational and non-relational databases;\n* Experience with cloud environments, especially AWS;\n* Experience with containerized environments (Docker, Kubernetes, etc.);\n* Business acumen and ability to translate data into strategic decisions.\n\n\nAdditional Information:\n\n\n Market-competitive salary\n\n\n Dental Plan – Clin Digital\n\n\n Telemedicine in partnership with API Saúde\n\n\n Psychological Support in partnership with API Saúde\n\n\n Nutritional Counseling in partnership with API Saúde\n\n\n Discount Club for leisure, education, and other institutions\n\n\n Birthday Day Off\n\n\n Career Growth Opportunities\n\n\n A work environment blending challenges and achievements\n\n \n\nSelection Process Steps:\n\n* Behavioral Fit Assessment: In this stage, candidate strengths are mapped and compared against the role requirements;\n* Career Moment: A brief conversation where the People & Culture team provides further details about the role and explores the candidate’s interest in the position;\n* Manager Interview: An opportunity for the candidate to understand daily responsibilities, deliverables, development opportunities, and for the manager to get to know the candidate better;\n* Onboarding Formalities: After the pre-employment medical exam, the candidate proceeds with documentation so we can joyfully welcome them: Welcome to Clin!!\n\n\nWe value diversity and inclusion and consider all candidates for our positions regardless of color, race, religion, gender and gender identity, nationality, disability, sexual orientation, ancestry, age, etc.\n\n\nIMMEDIATE HIRING!\n\n \n\n \n\n2601010046291627754","price":"","unit":"per year","currency":null,"company":"Indeed","language":"en","online":1,"infoType":1,"biz":"jobs","postDate":"1767706137904","seoName":"Engenheiro+de+Dados","supplement":null,"author":null,"originalPrice":null,"soldCnt":null,"topSeller":null,"source":1,"cardType":null,"action":"https://br.ok.com/en/city-recife/cate-database-dev-admin/engenheiro%2Bde%2Bdados-6498638565158612/","localIds":"47","cateId":null,"tid":null,"logParams":{"tid":"f2bea7f4-e548-4a01-a310-6d2bf1f2c90d","sid":"f5eb3dda-0f68-4e35-bcc2-4a51a8509bed"},"attrParams":{"summary":null,"employment":[{"icon":"https://sgj1.ok.com/yongjia/bkimg/8hvituaa__w72_h72.webp","name":"Job Type","value":"Full-time","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/is8j0f44__w72_h72.webp","name":"Workplace type","value":"Onsite","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/ji66qqr0__w72_h72.webp","name":null,"value":"Recife,Pernambuco","unit":null}]},"addDate":1767706137904,"categoryName":"Database Development & Administration","postCode":null,"secondCateCode":"info-comm-technology","kycTag":null,"pictureUrls":null,"priceDetail":null,"featureLabels":null,"supplementList":null,"soldCntStr":null,"companyLogo":null,"reportStatus":null,"isFavorite":false},{"category":"4000,4241,4246","location":"Av. 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Our engineering and construction units focus on Infrastructure, Energy, Mobility, and Industry projects, with an emphasis on operational excellence.\n\n \n\nIf you are process-focused, flexible, adaptable to change, and eager to work in an expanding multinational, this is the place for you!\n\n \n\nAt Andrade Gutierrez, all people are welcome, regardless of gender, sexual orientation, race, ethnicity, or disability.\n\n **Responsibilities and duties** \n\n* Be responsible for the technical execution of the construction management team in planning and scope management using Hexagon's tool.\n* Act as the focal point for the construction management team during the planning and construction phases, ensuring the correct application of defined processes and standards.\n* Provide internal and external support on AWP matters, ensuring appropriate application of materials on site according to defined corporate processes.\n* Conduct training and capacity building for internal and/or external teams on the use of the Construction Manager and material forecasting.\n* Be able to use the Construction Manager provided by Hexagon.\n* Execute and propose improvements to the implementation plans of the BIM methodology focused on construction management, according to the established execution plan.\n* Analyze the scope management process from its planning through to its application on site.\n* Generate BIM performance indicators and reports based on planned and executed deliverables.\n\n \n\n**Requirements and qualifications** \n\n* Degree in Engineering and/or Information Systems preferred.\n* Knowledge of planning and construction of industrial oil and gas projects.\n* Knowledge of SQL and/or Oracle databases.\n* Experience with Hexagon Smart Construction Manager is desirable.\n\n \n\n**Additional information** \n\n* Work location: Ipojuca/PE.\n\n \n\n* WE ARE AG\n\n\nIt is through the strength of \\#OurPeople that we build the future and go further every day!\n\n \n\n* OUR STORY\n\n\nAndrade Gutierrez was founded in 1948 in Minas Gerais by three young engineers who started building roads and have never stopped since. 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You will play a **key role** in defining analytical approaches, building predictive models, and promoting best practices in data science across the company.\n\n **Responsibilities and duties** \n\n* Develop **statistical** and **machine learning models** to solve complex business problems\n* Explore, process, and analyze **large volumes of structured and unstructured data**\n* Define metrics, hypotheses, and experiments (A/B tests, causal analyses, etc.)\n* Collaborate closely with Product, Engineering, and business teams\n* Perform **analytical modeling** across data lake layers using tools such as DBT and Airflow\n* Ensure quality, reproducibility, and scalability of developed solutions\n* Support strategic decisions through data-driven analysis and storytelling\n* Mentor junior data scientists and contribute to the team’s technical growth\n* Document models, analyses, and processes\n\n \n\n**Requirements and qualifications** \n\n**Education and experience**\n--------------------------\n\n* Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related fields\n* Postgraduate degree (Master’s or PhD) in data, AI, or healthcare is a plus\n* Solid experience as a **Data Scientist**, at a senior level\n\n**Required qualifications**\n---------------------------\n\n* Proficiency in **Python** (pandas, numpy, scikit-learn, etc.)\n* Strong foundation in **statistics, probability, and predictive modeling**\n* Experience with **supervised and unsupervised machine learning**\n* Knowledge of **SQL** and database manipulation\n* Experience with data pipelines and code versioning (Git)\n* Analytical mindset and business impact orientation\n\n**Desired qualifications**\n-------------------------\n\n* Experience with **models in production (MLOps)**\n* Familiarity with **cloud platforms (AWS or GCP)**\n* Experience with **Big Data** (Spark, Kafka, etc.)\n* Hands-on experience with **experiments, causality, or time series**\n* Knowledge of data versioning (Delta or Iceberg)\n* Familiarity with visualization tools (Power BI, Looker, Tableau, etc.)\n* Domain knowledge in healthcare and interoperability (e.g., openEHR, HL7 FHIR)\n\n \n\n**Additional information** **What you’ll find here:**\n\n* **Life Insurance:** Because our most precious asset is the people who shape our story.\n* **Health Insurance (Sulamérica):** Taking care of health is essential — rely on a solid plan to stay well.\n* **Dental Insurance (Sulamérica):** To keep your smile beautiful and healthy.\n* **Meal/Voucher Allowance via Swile:** Your meal and/or food allowance on one convenient, modern card. Because good energy starts with a good meal.\n* **Transportation Allowance or Fuel Benefit:** You choose how to commute — whether by public transport or your own car.\n* **Total Pass:** Greater freedom to care for your body and mind, with easy access to partner gyms and studios.\n* **Childcare Assistance:** Support for those with young children, ensuring greater peace of mind and balance in family routines.\n* **Eyeglass Assistance:** A little help to see more clearly — at work and in life.\n* **SESC Partnership:** Access to leisure, culture, and wellness benefits at special rates.\n* **Open English:** Special discounts to boost your English or Spanish and communicate confidently around the world.\n\n \n\nAmigo’s platform is the definitive combination of technology and services designed to simplify processes and deliver intelligent, comprehensive practice management for healthcare professionals. 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