hostess models

... At the end of this internship, you will have developed skills to extract and manipulate large and complex dataset, will be given insights on simulation models and will have learnt to master the usage of analytics for driving business decisions and change. · Project management You will have learnt key success factors to ... electrical, or software engineering · Comfortable using hand tools · Hands on experience with the ability to craft simple proof-of-concept models · Ability to work successfully in a fast-moving environment, to meet tight deadlines and prioritize workload even when faced with conflicting priorities. · Previous working ...

... gaps and opportunities for differentiation. Develop financial models to assess the cost structure, potential revenue, and profitability of financing options, consider various factors such as interest rates, lease terms, and down payments. Evaluate financial risks associated with financing semi-trailers, including credit risk ... and market data to refine and improve financing offers over time. Stay current with industry trends, emerging financing models, and technological advancements to ensure the offers remain competitive and innovative. Build and maintain strong relationships with customers and partners to enhance the success of financing programs.

... technology challenges An open corporate culture with high innovation pace Collaborative culture with business stakeholders Further training and development opportunities Being part of a team of highly skilled professionals Attractive employment conditions contract of employment, additional benefits Flexible working time models Benefits sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance fruits corporate products and services at discounted prices integration events no dress code coffee / tea drinks parking space for ...

... stable software applications Proficiency in at least one of core languages: Python or Java Exposure to AWS infrastructure A self-managed and dedicated approach with the ability to work independently. Preferred Qualifications: Experience or knowledge of Docker and Kubernetes Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components. Familiarity with data engineering tools. e.g. Spark Familiarity with AI/ML workflows and associated tooling. E.g. Sagemaker, ML Flow, Metaflow Experience or knowledge of Infrastructure as Code tools (e.g. Terraform) What you need to do now If ...

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... next? Find yourself a super position -> Apply -> Talk with us -> Find yourself in a superposition! Bachelor or Masters degree in the following areas: Computer science, Engineering or Information Technology or equivalent work experience in IT Excellent knowledge in the following topics: Dealing with agile process models like Scrum, Kanban, Design Thinking and/or other agile methods Understanding of Open Source delivery and contribution guidelines 3+ years of DevOps, Infrastructure or Platform Engineering experience experience with build and packaging tools like maven, gradle, npm, yarn experience witch CI/CD pipelines experience with IaC ...

... acquisition (M&A) processes. Conducting comprehensive market and business analyses in the context of company development. Analyzing and evaluating financial models and investment risks. Identifying new investment opportunities. Monitoring of current investments, including identification of problem areas Establishing and ... sector. Excellent communication skills. Fluency in English. Knowledge of the energy market and current industry trends. Ability to analyze and interpret financial models. Higher education in finance, economics, or related fields. We are waiting to receive your application soon! Miejsce pracy: Polska, Zachodniopomorskie, Szczecin

... the data engineering department and across the entire company building a data platform for storing, managing, and processing data at scale, including scheduling and libraries leading the design and optimization of data pipelines within descriptive analytics, data science, and machine learning designing scalable data models collaborating with the global data management team to implement data privacy compliance under GDPR and CCPA continuously improving reliability, performance, scalability, and quality continuously updating knowledge of evolving Big Data technology, sharing knowledge throughout the organization by enabling best practices, ...

... office in Warsaw (transfer and hotel costs are covered by client) Team: Project Managers, Business Analysts, Architects, Developers and other stakeholders What will you do: Interact with Projects Managers, Business Analysts, Architects, Developers, and stakeholders to acquire and precise requirements Building database models, DB structures and Dashboards Implementing ETL/ELT, SQL queries and data visualisations Analyse, monitor, and optimize existing solutions Building modern data warehouse based on Cloud solutions Ensuing compliance of deliverables to quality standards Identifying and resolving reported issues Integrating various data sources ...

... Terraform. What you get to do every single day: Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and design data models Use and mentor on best engineering practices such as version control system, CI/CD, code review, pair programming Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting Design & build ELT based data models using SQL & dbt Build analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains Identify, design, and implement internal ...

... a Senior Machine Learning Engineer. Your new role Senior Machine Learning Engineer will build the ML platform which provides robust infrastructure to transform models into products for 145k+ customers. The ideal candidate will have experience as a software engineer or MLOps engineer, a desire to work in ML/AI domain and a deep ... changing and conflicting priorities. Experience or knowledge of Infrastructure as Code tools (e.g. Terraform) Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components. Familiarity with data engineering tools e.g. Spark Familiarity with AI/ML workflows ...

... technology challenges An open corporate culture with high innovation pace Collaborative culture with business stakeholders Further training and development opportunities Being part of a team of highly skilled professionals Attractive employment conditions contract of employment, additional benefits Flexible working time models Benefits sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance fruits corporate products and services at discounted prices integration events no dress code coffee / tea drinks parking space for ...

... time Predict long-term revenue & performance data (especially in the privacy era), define optimal budget volume guaranteeing desired return on investment, collaborate & iterate to elevate Marketing efforts Your responsibilities Closely cooperate with Marketing Team in order to to design and implement data science models that tackle marketing challenges and will be aimed to improve KPIs Analyze marketing KPIs & translate complex data findings into understandable terms for insights and strategic decisions Develop meaningful predictive modeling & build reports based on them in order to optimize Marketing activity Draw conclusions and ...

... Thinking: Capability to align Agile practices with overall business goals and a strategic mindset to plan for long-term success within the Agile framework. Exemplifies and promotes Agile values and principles Knowledge of Agile frameworks (i.e. Scrum, Kanban), and an understanding of software development life cycle models. Expert in Agile techniques such as, user story creation, estimation, velocity & dependency mapping, etc. Proficiency in using tools such as Jira, Confluence & ADO What will the recruitment process look like: Your CV will be verified by Hays Recruiter Recruiter will contact you by phone - a 15-minute conversation ...