Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data. How you will contribute You will: - Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements - Identify patterns and help the business react to changing business conditions - Perform root-cause analysis and interpret data - Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards - Understand and be involved with aspects of the data science process - As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: - Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software - Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills - Develop key performance indicators and create visualizations of the data - Utilize business intelligence and analytics tool More about this role You will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets. What you need to know about this position: The Data Scientist will be responsible for advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias - Determine, create and maintain the best Statistical models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias - Refine forecasting models, by reviewing forecast performance and incorporating feedback from the Demand Planner, to improve forecast error and bias metrics - Analyze the model performance every month / week where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output and if required finetune the output - Propose additional strategies to have a better code (efficient or more accurate) to execute in Databricks. - Collaborate with Demand Planners to provide explainability of models and gather feedback to improve the models - Lead, develop, and deploy some algorithms built on databricks that help to the predictive process to be more efficient and accurate.a a high-qualitymonth/weekpost-processmore , fine-tuneDatabrickswill you bring What extra ingredients you will bring: - Lead the statistical forecasting process to provide the business a statistical base forecast for its demand planning process. - Lead some continuous improvement projects to get more efficient, robust, and accurate models to predict. - Analyse business requirements as a guide for data modelling and apply data analysis, design, modelling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions - Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data - Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change - Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices - Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes. - Analyse code, define and implement strategies to have more accurate and efficient results A desire to drive your future and accelerate your career and the following experience and knowledge: - Extensive experience in data modeling in a large complex business with multiple systems - Ability to simplify complex problems and communicate them to a broad audience - Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes. - Analyze code, define, and implement strategies to have more accurate and efficient results - Working in cloud computing environments with tools like databricks and help MDLZ to have better practices on it. - Aligning and coordinating activities with different areas and stakeholder to guarantee a good execution of projects and processes. Education / Certifications: - Bachelor's Degree required. Masters in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred - Certifications Google Cloud Platform as Data Scientist, or Data Analyst, or in Databricks (nice to have) - Experience in any Data Science language like Python (preferred), PySpark (preferred), R, Julia. - Experience developing and deploying Statistical and/or machine learning solutions. - Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar. - 10+ years of applied knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting - 10+ years of experience in handling multiple projects leading in the domain of supply chain and forecasting with multiple team members as part of org structure, - Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (nice to have) - Should be able to articulate data science outcome into business understandable language - Experience leading projects and/or processesan ,,the ,,outcomes Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Mondelēz International is the world's largest chocolate, biscuit and candy maker, and the second largest gum maker. Our North American and U.S. headquarters are in East Hanover, New Jersey, about 25 miles outside of New York City. We have Canadian offices in Toronto and Montreal. We have a strong North American manufacturing presence where we make our well-loved snacks like Oreo cookies, belVita breakfast biscuits, Trident gum and Cadbury chocolates. Our East Hanover location also houses our global research and development center for our consumer-favorite cookie and cracker brands. USA: Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance. Canada: If you are applying to a position in Canada, accommodations for applicants with disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the employment selection process. For all internal and external applicants who require accommodation in the recruitment and selection process please contact 847-943-5460 for assistance/support. Job Type Regular Data Science Analytics & Data Science

Title: Staff Scientist in Translational Bioinformatics Location: Philadelphia United States Job Description: SHIFT: Day (United States of America) Seeking Breakthrough Makers Children's Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care-and your career. CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means. A Brief Overview This role is an entry level position for a PhD level professional and a 2nd stage position for those with moderate experience without a PhD. The focus of the position is service-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a moderate degree of supervision with some latitude for independent judgment, development of bioinformatics workflows and processes, and presentation of results. This role will begin to apply best practices in collaborative science as a bioinformatics domain expert. Academic output, while not a primary focus of this position, is also expected with a moderate degree of supervision. This position is primarily focused on supporting scientific teams and projects as a bioinformatics domain expert. This role must be able to perform all responsibilities listed in the less senior roles within the career ladder. All responsibilities listed in this description are additional. Dr. Tamir Diamond, Dr. Edward Behrens and their research group at Children's Hospital of Philadelphia are seeking a highly motivated PhD-level Staff Scientist in Translational Bioinformatics to support studies of immune dysregulation in pediatric acute liver failure. The successful candidate will lead computational analyses integrating multi-omic datasets generated from patient blood and tissue samples, with a focus on translational immunology. Our group uses 10x Genomics platforms such as visiumHD, Xenium and GEM-Ex single cell RNA sequencing from blood/tissue, as well as multiprotein assays by O-Link and other vendors. Our group has a collaborative relationship with the CHOP single cell RNA sequencing core on multiple projects providing excellent resources and support. Responsibilities - Analyze and integrate datasets from: - Single-cell RNA sequencing - TCR/BCR repertoire sequencing - Spatial transcriptomics - Multiplex immunofluorescence/imaging platforms - Multiplex protein assays - Perform cell-state, clonality, pathway, and cell-cell interaction analyses - Develop reproducible computational workflows in R/Python within HPC environments - Contribute to manuscripts, abstracts, and grant applications Preferred Qualifications - Experience with immune repertoire analysis (TCR/BCR sequencing) - Familiarity with translational immunology and human tissue datasets - Experience with integrative multi-modal analysis approaches - Flexibility to work from home for 1-2 days/week How you fit in? You will have an important role in our group's mission to further the understanding of the interaction between the immune system and organ injury in immune dysregulation syndromes. We are a jovial bunch that collaborates with multiple other labs at CHOP and we are looking for a motivated future member to join our scientific discoveries and fun lunches. We are a lab group full of kind, collaborative, and motivated individuals with diverse backgrounds and experiences. You must be willing to commit to the position for at least 2 years. This is the minimum time required to build a strong mentor-mentee relationship, to be an effective member of the team, and to help you build the appropriate skills as your career develops. What you will do - Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. - Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. - Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances. - Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources. - Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status. - Coding (20%): Code and generally support code and applications on behalf of collaborative project and/or team. - Within the context of the collaboration or project, develop and apply best practices to code development. - Establish requirements with the project team. - Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. - Advocate for chosen strategy to project team by showing value of approach - Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. - Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. - Data Analysis (20%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team. - Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. - Incorporate more advanced applications and methods into analysis. - Develop at least one specialty analytical or biomedical area that serves the collaborative team. - Collaboration (20%): Establish role within collaborative project team as primary bioinformatics resource. - Contribute to and influence project-level management by serving as bioinformatics point. - Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. - Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. - Develop new collaborations with high degree of supervision. - Academic Output (20%): Develop presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. - Regularly contribute to bioinformatics-focused manuscripts and publications. - Regularly contribute to podium presentations and posters. - Contribute to bioinformatics sections of grant and award proposals. Education Qualifications - Bachelor's Degree Required - Master's Degree in bio/informatics, computational biology, computer/information science, biomedical engineering, biological science or a related field Preferred - PhD in Bioinformatics, Computational Biology, Immunology, Genomics, or related field Preferred - Strong experience with single-cell and/or spatial 'omics analysis - Proficiency in R and/or Python - Experience working with high-dimensional human translational datasets - Excellent communication and collaborative skills Experience Qualifications - At least three (3) years of applied bioinformatics, computational and/or genomics/proteomics experience Required - At least five (5) years of applied bioinformatics, computational and/or genomics/proteomics experience Preferred Skills and Abilities - Intermediate proficiency in UNIX/LINUX - Intermediate proficiency in programing languages (Python/Django, R, Perl, Scala, Ruby) - Intermediate proficiency in pipeline or workflow development frameworks - Intermediate proficiency in biostatistical data analysis on dimensional data, genomics and research data - Intermediate proficiency in data management - Intermediate proficiency in genomic data sets and analysis tools (UCSC Genome Browser, Bioconductor, ENCODE, NCBI databases) - Intermediate proficiency in open source and commercial bioinformatics resources and software - Intermediate proficiency in source code management, application development, and project lifecycle management - Intermediate proficiency in bioinformatics analysis, statistical modeling, data integration, and bioinformatics best practices - Substantial knowledge of relational database management systems (PostgreSQL, MySQL, Oracle) - Substantial knowledge of bioinformatics applications and algorithms - Substantial knowledge of biological domains - Substantial knowledge of technologies commonly used in biological labs (PCR, cloning, electrophoresis gels, and cell cultures) - Substantial knowledge of working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies - Excellent verbal and written communications skills - Strong time management skills - Strong organizational skills - Strong presentation skills - Strong critical thinking / problem-solving skills - Strong project management skills - Ability to maintain confidentiality and professionalism - Ability to work independently with minimal supervision - Ability to gather, analyze and make recommendations/decisions based on data / best practices - Ability to convey complex or technical information in an easy-to-understand manner - Ability to collaborate with stakeholders at all levels To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more. EEO / VEVRAA Federal Contractor | Tobacco Statement SALARY RANGE: $101,300.00 - $129,100.00 Annually Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly. - ------------------ At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.

Role Description Como Cientista de Dados, você será fundamental para transformar dados em inteligência ativa. Seu foco será o desenvolvimento e a implementação de modelos de classificação, previsão e soluções baseadas em IA Generativa, integrando-as aos nossos produtos, processos internos e iniciativas institucionais. Aqui, você atuará focado no core de Data Science: - Modelagem e Análise: desenvolver, validar e apoiar a implantação de modelos de classificação e previsão (Machine Learning) para otimizar processos e alavancar produtos de dados. - IA Generativa na Prática: desenvolver e implementar aplicações baseadas em Grandes Modelos de Linguagem (LLMs) para automação e novas funcionalidades de produto. - Visão de Produto: apoiar a tradução de dores de negócio em problemas de Data Science, ajudando a definir hipóteses, métricas de sucesso e critérios de avaliação alinhados aos objetivos da instituição. - Ciclo de Vida dos Modelos: acompanhar a saúde dos modelos em produção, monitorando métricas de desempenho, qualidade e possíveis desvios. - Colaboração Multidisciplinar: atuar em parceria com os times de Produto, Engenharia de Dados e BI para integrar soluções analíticas ao ecossistema da empresa. Qualifications - Prática em Machine Learning: experiência no ciclo de modelos de classificação e regressão/previsão (da exploração dos dados e validação até o acompanhamento do modelo). - Ecossistema Python: conhecimento sólido na linguagem e em suas principais bibliotecas de manipulação e modelagem. - Desenvolvimento com LLMs: experiência prática na construção de aplicações utilizando LLMs e frameworks de suporte (como LangChain ou LlamaIndex), compreendendo conceitos de arquiteturas como RAG. - Manipulação de Dados: boa autonomia em SQL para extração, transformação e análise exploratória de dados. - Noções de MLOps e LLMOps: conhecimento sobre boas práticas de versionamento de código/modelos e ferramentas de monitoramento de experimentos. - Noções de Produtos de Dados: compreensão de como um modelo analítico se integra e gera valor dentro de um produto ou processo de negócio. - Cloud Computing: vivência ou familiaridade com serviços gerenciados de IA/ML em ambiente de nuvem, preferencialmente AWS. Requirements - Conhecimento em técnicas de Engenharia de Prompts e testes com múltiplos modelos de linguagem. - Noções de segurança, governança e uso ético de Inteligência Artificial. - Experiência prévia atuando em times multidisciplinares de produtos digitais. Benefits - Vale alimentação e/ou refeição (R$837) - Inclusive nas férias - Vale transporte - Seguro de vida - Auxílio home office (R$100) - Auxílio creche para crianças de até 6 anos - Headhunter (valor por indicação de colaborador) - Indicação de clientes (valor por indicação de clientes) - Plano de saúde integral, sem coparticipação (com terapia online gratuita) - Convênio odontológico - Caju+ (assistência psicológica, assistência jurídica, consultoria financeira) - Wellhub (plataforma de saúde e bem estar) - DOT Break (Um dia de folga extra no ano, para usar como quiser) - Convênio Farmácia - Licença maternidade estendida de 6 meses - Licença paternidade estendida de 20 dias - Onhappy - Ofertas exclusivas de passagens e hospedagens - FeelingDOT sobre temas diversos (workshops sobre autoconhecimento, diversidade, inclusão e equilíbrio) - Mimos e gifts em datas comemorativas - Verba de Sophia de R$ 2.000,00 (auxílio educação) - Horas de Sophia (40 horas/ano em capacitação da sua escolha) - Verba Survival (auxílio educação no negócio) - DOTAcademy com cursos gratuitos - Mobilidade interna - DOTHUB (desenvolvimento de lideranças) - Cultura de feedback - DOTKnows (peer learning) - Cousera - Ilimitado - Home office: trabalhe de qualquer lugar do Brasil - Horário flexível - Nosso regime é de 40h semanais - Aprendizado contínuo - Pessoas que é bom de estar perto - Autonomia com responsabilidade - Local para refeições (presencial) - Lanches, snacks, frutas, chás e café passado (presencial) - Área de convivência (presencial) - Momentos de integração e festas

Role Description We are looking for a highly motivated and results-driven Head of Data & AI to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization. We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach. Key Responsibilities - Data Engineering - Design and evolve a scalable, reliable, and maintainable data platform architecture - Oversee development of robust ETL/ELT pipelines and real-time data streaming systems - Establish engineering best practices, including code reviews, CI/CD, data contracts, and observability - Lead technology selection and resource planning across ClickHouse, Spark, and supporting infrastructure - Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes - Manage infrastructure costs and drive optimization across storage, compute, and cloud resources - Artificial Intelligence & Large Language Models - Define and develop the company's overall AI direction and roadmap, aligning initiatives with long-term business strategy - Ensure operational stability and observability of ML services - Define and drive LLM strategy, including identifying high-value use cases, evaluating model providers (OpenAI, Anthropic, open-source), and leading end-to-end implementation - Architect and oversee LLM-powered products, including RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes - Establish MLOps/LLMOps best practices, including model versioning, evaluation frameworks, prompt management, and drift/hallucination monitoring - Drive responsible AI governance, including bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations - Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval - Champion AI-assisted development practices (e.g., GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams - Data Analytics & Quant - Drive advanced analytics, strategy, and Quant development - Partner with stakeholders to translate complex business challenges into data-driven solutions - Define and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-making - Lead experimentation practices to validate business impact of models and initiatives - Mentor teams, setting technical standards and career development paths Qualifications - 7+ years of hands-on experience across Data Engineering, Data Science, Quant, Data Analytics, delivering end-to-end solutions - 3+ years of managerial experience, leading data teams - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field - Strong programming skills in Python, with experience writing clean, production-grade code - Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture) - Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc. - Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) - Strong foundation in mathematical statistics, probability theory, and quantitative modeling - Proficient in SQL and experience with analytical and OLAP databases - English Upper-Intermediate Nice to Have - Background in trading or fintech - Experience analyzing and modeling time series or high-frequency data - Familiarity with anti-fraud systems, risk modeling, or portfolio analytics - Practical experience with integration of LLM with corporate systems for internal users Benefits - 20 paid vacation days per year - 10 paid sick leave days per year - Public holidays according to current legislation - Medical insurance - Opportunity to work remotely - Professional education budget - Language learning budget - Wellness budget (gym membership, sports gear and related expenses)