Senior Applied Data Scientist - Learner Modeling

Join Instructure as a Senior Applied Data Scientist specializing in Learner Modeling, where you will leverage data to enhance educational experiences. In this dynamic role, you will work on innovative projects that drive learning outcomes and improve our platform. Collaborate with a talented team of data scientists and engineers to develop advanced models that analyze learner behavior and provide actionable insights.

Join Instructure as a Senior Data Scientist specializing in Applied AI, where you will have the opportunity to harness the power of data to drive innovative solutions. In this role, you will collaborate with cross-functional teams to develop cutting-edge AI models that enhance our educational platforms. Your expertise will be critical in analyzing complex datasets, creating predictive models, and implementing machine learning algorithms that directly impact our products and users.

Role overview The Senior Data Scientist - AI & Analytics position at Instructure in Budapest centers on using data science and machine learning to enhance products and services. This role requires collaboration with team members from various departments to address business challenges through data-driven solutions. Key responsibilities Analyze large and complex data sets to extract actionable insights. Build predictive models that support business decision-making. Work closely with colleagues from different functions to apply analytical methods to real-world problems. Location This position is based in Budapest, Hungary.

Deutsche Telekom IT Solutions seeks a Data Scientist (REF5387K) to join its team in Budapest or Debrecen. The role centers on analyzing complex datasets, developing statistical models, and applying machine learning methods to support decisions across several business areas. Key Responsibilities Examine large and diverse data sets to spot trends and patterns Develop and implement statistical models and machine learning algorithms Convert data insights into practical recommendations for various business teams Collaborate with colleagues to address challenging data questions Who Thrives Here This position fits those who value teamwork and are eager to tackle complex challenges using data-driven approaches.

At Cision, we empower individuals to make a significant impact. Your voice matters, your ideas are appreciated, and your unique perspective drives our collective success. As part of our global team, you will thrive in an environment that champions curiosity, collaboration, and innovation. Your contributions will be meaningful in accelerating the brands we support. Join us in redefining communication and fostering authentic connections that truly matter. Whether you’re tackling complex challenges or spearheading innovative solutions, your growth is synonymous with our success. Together, we will shape the conversations of the future. Empower your impact at Cision. Be seen, be understood, be yourself. About the RoleCision boasts one of the largest media and content databases globally. Our data science team is dedicated to developing intelligent and high-impact features powered by machine learning and NLP.As a Staff Data Scientist, you will join our Machine Learning and Data Science team, focusing on the development and deployment of machine learning models directly utilized in our products. You will tackle complex, high-visibility challenges while collaborating closely with engineering, product, and analytics teams to transform prototypes into production-ready solutions.This position is perfect for an individual who demonstrates strong ownership, consistently delivers high-quality work promptly, and serves as a subject matter expert on key ML components or services. Key ResponsibilitiesDevelop and implement complex machine learning and NLP solutions end-to-end.Analyze extensive datasets to extract insights, design features, and inform modeling decisions.Collaborate with engineering teams to build, test, and deploy ML models into production systems.Create tools, frameworks, and reusable components that enhance model development independently.Work cross-functionally with product managers, engineers, and analysts to convert prototypes into production-grade models and services.Exhibit sound judgment regarding risk, workload management, prioritization, and escalation.Function as a go-to subject matter expert in your domain while significantly contributing to team commitments and delivery.

Bosch Group is hiring a Data Scientist and AI Engineer in Budapest. This position centers on applying data analytics and artificial intelligence to improve products and processes. Role overview Work closely with colleagues from different disciplines to design and build machine learning models. The focus is on creating solutions that add value to Bosch Group’s offerings. What you will do Develop and implement machine learning models Use data analytics to identify opportunities for improvement Collaborate with cross-functional teams to integrate AI-driven solutions Requirements Experience in data science and artificial intelligence Ability to work with teams from various backgrounds Strong skills in building and deploying machine learning models

Join Instructure as a Senior Applied AI Engineer specializing in Retrieval and Semantic Systems. In this pivotal role, you will leverage your extensive expertise in artificial intelligence to enhance the capabilities of our products and deliver innovative solutions. You will collaborate with cross-functional teams to design, develop, and implement advanced AI models that optimize information retrieval and semantic understanding.

Join metgroup as a Data Architect and play a pivotal role in shaping our data architecture and strategy. You will collaborate with cross-functional teams to design and implement robust data solutions that drive our business forward. Your expertise in data modeling, database design, and data integration will be essential in optimizing our data systems.

Join our esteemed client, a well-established IT consulting firm with over two decades of expertise in executing large-scale technology projects across various sectors. Their enduring collaborations with major organizations demonstrate their technical prowess and financial reliability, bolstered by consistently high external credit ratings. Operating with a streamlined core team, the company boasts low turnover rates and fosters a collaborative culture built on trust, long-term partnerships, and a commitment to high-quality deliverables. With engagements spanning telecommunications, healthcare, and academia, this role offers engineers the chance to work on diverse and intricate projects while enjoying a flexible and supportive work environment.We are seeking a Senior Data Engineer to help manage extensive data environments characterized by high-volume datasets, intricate integrations, and analytical applications. This hands-on engineering position emphasizes the creation and upkeep of data pipelines, in-depth understanding of end-to-end data flows, and resolution of data quality concerns across distributed systems.You will collaborate closely with engineers, analysts, and stakeholders to ensure the delivery of reliable, scalable, and well-structured data solutions that enhance analytics and machine learning efforts.Key Responsibilities:Design, construct, and sustain scalable data ingestion and ETL/ELT pipelines.Manage large datasets and interfaces that feed into enterprise-level databases.Examine data flows and diagnose inconsistencies across systems.Conduct root cause analyses to trace erroneous outputs back to original source systems.Prepare datasets for analytics and machine learning applications.Participate in data modeling and mapping activities.Assist machine learning initiatives through data preparation, evaluation, and optimization.Establish and implement data quality monitoring frameworks.Create visualizations to facilitate data interpretation and insights.

Join our dynamic team as a Senior Data Engineer where you will play a pivotal role in shaping our data architecture and driving innovative solutions. You will be responsible for designing, building, and maintaining robust data pipelines that ensure our data is accessible, reliable, and ready for analysis. Your expertise will directly contribute to enhancing our data-driven decision-making processes.

Join Kpler as a Senior BI Data Engineer and be a pivotal force in shaping our data architecture. In this vital role within our Business Intelligence & Insights team, you will develop scalable data pipelines, create robust data models, and establish reliable infrastructure that empowers teams across the organization with access to high-quality, accurate data. This position is ideal for someone who thrives in a fast-paced, international environment and enjoys addressing complex data challenges while designing systems that drive insights, reporting, and machine learning at scale. You will report directly to the Director of BI, collaborating closely with cross-functional teams to enhance data-driven decision-making across the company.

Join our esteemed partner, a globally recognized leader in the manufacturing of advanced systems, modules, and components tailored for the commercial vehicle sector. Their commitment to innovation and quality has propelled them to the forefront of the industry, allowing them to deliver efficient solutions and customized concepts for a wide range of customer applications. By integrating cutting-edge technology systems, they ensure their products are always aligned with the latest market trends and demands, setting benchmarks in reliability and performance.Drive project management initiatives within the scope of system consolidations and the development of new big data projects.Leverage your expertise in big data, data visualization, and business intelligence tools.Analyze intricate data sets to produce insightful reports and strategic recommendations that inform business decisions.Develop and maintain business intelligence dashboards, reports, and visualization tools to clearly communicate findings to stakeholders.Design and implement data models, data integration processes, and ETL solutions to support BI initiatives.Lead and actively participate in new data-centric projects.RequirementsA degree in information technology, business administration, or equivalent vocational training.Demonstrated experience as a Data Analyst, preferably in a senior or leadership capacity, with a strong emphasis on business intelligence.Proficiency in BI tools such as SAP BI, Tableau, Power BI, and SAP Datasphere.In-depth knowledge of cloud services and big data technologies and frameworks (e.g., Hadoop, Spark, AWS, Google Cloud, Azure, DataBricks).Experience in data modeling, data integration, and ETL processes.Familiarity with programming languages like Python or R.Experience with SAP BI and/or BW/4HANA is a plus.Ability to manage external service providers is advantageous.Fluency in written and spoken English.Strong initiative, excellent presentation skills, and the ability to thrive under pressure.Intercultural competence and a willingness to travel.BenefitsEngaging, challenging, and responsible tasks.Be part of a unique growth journey with outstanding development and career opportunities.Gain insights into the defense and automotive industries.Connect with a professional community of over 30,000 colleagues worldwide.Participate in professional training and events.Enjoy a comprehensive benefits package.

Role overview Qima seeks a Senior Manager, Data & Web Engineering to join their Budapest office. This leadership position manages a team of data engineers and web developers, focusing on the creation and improvement of data solutions and web applications. The role shapes data frameworks and helps ensure web platforms run smoothly, offering a dependable and user-friendly experience. What you will do Lead and mentor a group of data engineers and web developers Oversee development and refinement of data frameworks Maintain high standards for web platform performance and usability Collaborate with cross-functional teams to apply best practices in data management and web engineering Guide the team through complex technical issues Deliver projects on time and within budget Encourage continuous learning and foster innovation within the team Requirements Demonstrated experience leading teams in data engineering and web development Strong knowledge of data frameworks and web application performance Ability to work effectively across departments Track record of mentoring and developing technical staff Comfort managing several projects and shifting priorities This position is located in Budapest.

Join our dynamic team at Hawkeye Innovations as a Senior Java Engineer specializing in our Data Platform Framework. In this role, you will drive the development of scalable and efficient data solutions, collaborate with cross-functional teams, and contribute to the architecture of our data platform. If you are passionate about Java and data engineering, this is your chance to make an impact in a forward-thinking company.

mpsolutions creates technology that transforms mobile phone cameras into scientific instruments. The Budapest team seeks a Lead Imaging Scientist to guide the imaging pipeline, shaping how raw sensor data becomes usable input for machine learning systems. What you will do Take ownership of the mobile camera imaging stack, managing each step from sensor data collection to final output. Process and calibrate raw camera data, ensuring it is ready for use in machine learning models. Act as the main technical connection among imaging, mobile development, and machine learning teams. See your work directly impact the final product. Role details Location: Budapest, Hungary Full-time English language skills required

Join a global leader in technology dedicated to energy innovation for a sustainable future. Our client is at the forefront of transforming energy solutions with advanced gas engine technologies, digital platforms, and energy services. With operations in over 100 countries, they focus on advancing engineering while prioritizing the well-being of people and the planet.The Senior Data Engineer plays a crucial role in collaboration with Data Analysts, BI Developers, and Requirements Engineers to lay the groundwork for all analytical projects. This position entails building and managing data pipelines that extract, transform, and load (ETL) data from various sources into a centralized repository, subsequently facilitating project-specific data delivery.Your Responsibilities: Architect and deploy scalable and resilient data pipelines that meet the analytics and data processing requirements. Design and maintain robust database architectures, including data lakes and warehouses. Ensure data integrity and consistency through meticulous data cleaning, transformation, and validation processes. Engage with Data Analysts, BI Developers, and Requirements Engineers to gather project requirements and provide data solutions aligned with business goals. Enhance data retrieval processes by developing pipelines and physical data models tailored for reports and various analytical projects. Implement data security and privacy protocols to ensure compliance with legal and regulatory standards. Document all created data pipelines comprehensively.

At Kpler, we empower organizations to navigate complex markets effortlessly. Our innovative approach simplifies global trade information, providing essential insights that drive informed decisions in the commodities, energy, and maritime industries.Founded in 2014, Kpler has continually delivered premier intelligence through intuitive platforms. With a dedicated team of over 700 professionals from more than 35 countries, we transform intricate data into actionable strategies, ensuring our clients remain competitive in a rapidly evolving market. Join us to harness cutting-edge innovation for impactful outcomes and receive unmatched support on your path to success.We are seeking an enthusiastic and skilled Senior Data Analyst to become a pivotal member of our Business Intelligence & Insights team. In this influential role, you will help shape the data architecture that underpins Kpler's commercial and strategic decisions. Reporting directly to the Head of BI, you will be responsible for managing essential data pipelines, designing scalable Looker solutions, and serving as a trusted data partner for stakeholders across the organization.This role is ideal for an individual who excels at the intersection of data engineering and business analytics, capable of building robust, production-quality infrastructure one day and translating complex datasets into actionable insights for commercial teams the next. If you are passionate about working with real-time commodity flow data and eager to influence the BI strategy of a dynamic B2B SaaS company, we encourage you to apply.

Join our team as a Senior Data Engineer, where you will play a pivotal role in building and managing scalable data ingestion and Change Data Capture (CDC) capabilities on our Azure-based Lakehouse platform. Your expertise will drive our engineering maturity as we deliver ingestion and CDC preparation through Python projects and reusable frameworks. We are seeking a professional who applies best software engineering practices, including clean architecture, rigorous testing, code reviews, effective packaging, CI/CD, and operational excellence.Our platform emphasizes batch-first processing, allowing for the landing of streaming sources in their raw form while processing them in batch. We are selective in our evolution towards streaming as necessary.As part of the Common Data Intelligence Hub, you will collaborate closely with data architects, analytics engineers, and solution designers to create robust data products and ensure governed data flows across the enterprise.Your team is responsible for end-to-end ingestion and CDC engineering, including design, build, operation, observability, reliability, and reusable components.You will contribute to the development of platform standards, including contracts, layer semantics, and readiness criteria.While you will not primarily manage cloud infrastructure provisioning, you will work with the platform team to define requirements, review changes, and maintain deployable code for pipelines and jobs.Platform Data Engineering & DeliveryDesign and develop ingestion pipelines utilizing Azure and Databricks services, including Azure Data Factory pipelines and Databricks notebooks/jobs/workflows.Implement and manage CDC patterns for inserts, updates, and deletes, accommodating late arriving data and reprocessing strategies.Structure and maintain bronze and silver Delta Lake datasets, focusing on schema enforcement, de-duplication, and performance tuning.Create “transformation-ready” datasets and interfaces with stable schemas, contracts, and metadata expectations for analytics engineers and downstream modeling.Adopt a batch-first approach for data ingestion, ensuring raw landing, replayability, and idempotent batch processing while progressing towards true streaming as required.Software Engineering for Data FrameworksDevelop and maintain Python-based ingestion and CDC components as production-grade software, focusing on modules, packaging, versioning, and releases.Implement engineering best practices such as code reviews, unit/integration tests, static analysis, formatting/linting, type hints, and comprehensive documentation.Establish and enhance CI/CD pipelines for data engineering code and pipeline assets, covering build, testing, security checks, deployment, and rollback patterns.

Join our dynamic team as a Senior Data Engineer specializing in the Power Platform at Deutsche Telekom IT Solutions in Budapest. In this pivotal role within our international Common Data Intelligence Hub, you will enhance our Cloud Data & Analytics Platform by serving as the crucial link between Self-Service BI teams and the Azure Lakehouse backend.Our Cloud Data & Analytics Platform integrates Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). This innovative platform empowers business units to develop and manage their own analytics and reporting solutions while adhering to enterprise-level security, governance, and data management protocols.As a Senior Data Engineer, you will ensure that self-service solutions operate efficiently, securely, and reliably in accordance with established standards. You will provide guidance and support to business and data teams, helping them navigate the technical framework, governance principles, and best practices for sustainable analytics solutions. Collaboration with platform engineers will be key to maintaining operational alignment between the Power Platform frontend and the Lakehouse backend.Platform Operations & Maintenance:Ensure the reliable operation and performance optimization of Power Platform components (Power BI Service, Power Apps, Power Automate, SharePoint Online) within the Cloud Data & Analytics Platform.Monitor platform usage and performance to guarantee optimal resource allocation and cost efficiency.Manage Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework).Oversee role-based access control (RBAC) and workspace permissions in line with corporate governance and Azure security principles.Optimize data refresh and load processes to maintain the freshness and stability of analytical datasets.Work closely with platform engineering teams to address incidents, coordinate upgrades, and implement technical improvements across both frontend and backend layers.Create standardized operational dashboards and reports to enhance transparency regarding platform usage, capacity, and performance metrics.Governance & Best Practices:Consult and coach Self-Service BI teams on effectively utilizing Power BI, Power Apps, and Power Automate within the governance framework.Guide new teams through onboarding and compliance processes, ensuring proper workspace configuration.

Join our team at BDA_CDI HUB, where we deliver comprehensive IT solutions for T-Systems that encompass data management, analytics, visualization, and process automation.Our expertise covers everything from user-friendly analytics platforms to enterprise-level data warehouse and analytics solutions. We are dedicated to driving data-driven initiatives and implementing advanced analytics through cloud services, transforming our traditional data warehouse architecture into a centralized T-Systems Lakehouse framework to optimize performance and efficiency.Our work environment is dynamic, innovative, and focused on continuous learning and professional development.As a Senior Developer in Data Analytics & Data Engineering, your responsibilities will include:Designing IT platforms, processes, and structural frameworks for our evolving Lakehouse on Azure, using cutting-edge technologies such as Databricks, Data Factory, Data Lake Storage, Event Hub, and more.Developing sustainable architectures, prototyping solutions, and assessing new technologies to foster innovation.Supporting engineering teams in platform architecture development and mentoring them towards independent solution design.Ensuring the protection and security of business-critical and personal data.Collaborating with the team to improve platform architecture, establishing principles, patterns, and best practices.