Multinational company - leader in digital services is seeking an experienced Business Intelligence / Data Visualization Engineer to join a team passionate about data science and delivering cutting-edge visualizations & insights across the entire portfolio.

About the company:

The team’s culture is centered around rapid iteration with open feedback and debate along the way. They encourage independent decision-making and taking calculated risks. Data Science & Analytics collaborates with partners across product, design, engineering, marketing, editorial, and business teams. They produce insights to drive decisions that enhance the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy.

About the project:

This role will require working with internet-scale data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making across all levels of the company.

Job Description:

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with the Data Science team to define metrics, datasets, and automation strategy.

Key Qualifications:

• 5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, PowerBI, and Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.

Soft-skills:

• Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
• Able to communicate and collaborate across many different teams, has an agile approach to solve challenging problems quickly, and stresses the details.

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting, processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

Project description and requirements for Background to the assignment

The company provides Data Science support for chemistry product development and support R&D. This includes the design and development of production-ready web application to serve the developed data science model to the end-user and other things.

Therefore, the development requires a secure setup of Azure services according to an existing system architecture. To keep compliance with company's standards, the setup needs to be automated using Terraform and should follow Microsoft recommendations for security and networking. There is also a need for a proper test environment concept and deployment automation for the web application components according to the concept.

Consequently, we need an expert with sufficient expertise in connection with Azure Serverless technologies in a secure setup and their automated deployment, handling of test environment as well as logging and monitoring of serverless applications.

Backlog items will be assigned in Azure DevOps containing business requirements and acceptance criteria.

Workload based on Agile environment, 2 weeks sprints. With Sprint meetings once in two weeks and Daily meetings.

Tasks

Automation of build and deployment of web app components based on Docker container and Azure serverless technologies

• Staged deployment and test environment concept for App Service apps and Function App APIs
• Concept for deployment and hosting of API specs
• Concept for deployment and hosting of code documentation
• Concept for logging and monitoring of serverless functions App Service apps and Function App APIs

Automation of Azure services provisioning based on Terraform

• Setup of Azure App Service, Function App under consideration of Azure security recommendations and automation via Terraform
• Setup of Cosmos DB under consideration of Azure security recommendations and automation via Terraform

Documentation of technical implementation which is subject to approval by the client.

A Swiss and EU based FinTech Company with a Mission to bridge cryptocurrencies into traditional financial systems, to enable everyone to utilize the benefits of crypto as an integral asset class in financial management.

Position

Company is searching for an experienced and dedicated CIO (Chief Information Officer) to lead and manage IT Development team (40+ people) and processes. A successful CIO should have in-depth knowledge of the current and up-and-coming trends in the FinTech and Crypto/DLT industry. 

To be successful, you will be highly analytical, and professional, and possess excellent organizational skills. This is the possibility of being a part of an amazing project, working with a highly experienced team and cutting-edge technology.

The ideal CIO should engage in the pursuit of company’s international expansion, leading the development of the internal technology strategy for the Company and advising to the business on all matters related to the interface between the IT development department and the rest of the business.

Job Responsibilities

• Develop goals and strategies to ensure the IT development department:

1. delivers features planned in the product roadmap
2. has all security tools, measures, and processes in place;
3. runs smoothly and effectively.

• Direct and establish IT-related projects.
• Monitor changes in the technology sector to discover ways the company can improve and develop.
• Supervise the networks and computer systems in the company to ensure optimal performance.
• Plan and direct the implementation of new IT systems.
• Provide leadership to IT specialists and other staff within the company.
• Create and adapt technological platforms to improve the client experience.
• Troubleshoot data-related issues and establish regular maintenance.
• Auditing existing IT infrastructure and assessing for any security risks
• Continuously assessing security vulnerabilities, assessing risks and implementing prevention measures and mitigating controls.
• Developing policies around security incidents and creating an Emergency Response Team to act as and when a security breach is looming or has happened.
• Monitoring of personal performance of engineers.
• Leading the hiring process within the department. 

Requirements

• Experience related to the FinTech industry (Retail Digital Banking, Crypto, Blockchain, Online trading with financial assets);
• 10+ years of technology experience with at least 5 years in a senior executive role in a combination of IT, information security, and risk management roles;
• A strong strategic and business mindset;
• Excellent organizational and leadership skills;
• Outstanding communication and interpersonal abilities;
• BSc/BA in computer science, engineering or relevant field; 
• Solid business knowledge that ties the technology vision to company’s mission, performance, and financial goals;
• Specific experience in Agile (scaled) software development or other best development practices;
• Demonstrated ability to interpret technology and market trends;
• Development of applications for the global market;
• Software quality management;
• Ability to work and lead in a fast-changing dynamic environment;
• Excellent interpersonal, written, and verbal communication skills;
• Experience with global/international operations;
• Innovative thinking and leadership with an ability to lead and motivate cross-functional, agile, and interdisciplinary teams;
• Experience with contract and vendor negotiations and management including managed services;
• Demonstrated ability to develop achievable and inspiring technology objectives and roadmaps;
• Demonstrated ability to focus organizations on these objectives and roadmaps;
• Demonstrated ability to collaborate effectively with non-technology oriented employees and partners;
• Strong analytical skills;
• Proven experience with the corporate stack of programming languages and technologies, incl: node.js, react/react native, c#, .net.
• Fluent in English.