Data Science UA

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past almost 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
It is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The broad range of data-driven solutions in data consulting and digital marketing are designed to meet clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:
We are seeking a skilled and experienced RPA Engineer on project-based cooperation to join the dynamic team. The RPA Engineer will be responsible for exploring, designing, and automating organizational workflows to meet productivity business objectives through continuous effectiveness and striving for operational excellence.

Requirements:
- Strong Python expertise - experience in designing algorithms (C#, .Net, Java will be a plus).
- Practical experience with Automation Anywhere tool (UiPath, Blue Prism will be a plus).
- Experience with Databases and SQL queries.
- Experience in working with APIs and with Agile development methodology.
- Web knowledge (HTML / CSS / JS).
- Ability to design technical specification documents for RPA Projects.
- Understanding of workflow-based logic.
- Strong attention to detail and analytical skills.
- Creative and brave enough to dive into complicated processes.
- Upper-intermediate level of English.

Nice to have:
- Web scraping (knowledge of Selenium).
- Knowledge of artificial intelligence and machine learning.
- Experience in DevOps Automation.

Responsibilities:
- Developing software robots and creating algorithms for software robot to perform business operations.
- Design, develop, and test automation workflows.
- Deploy RPA components, including bots, robots, development tools, code repositories, and logging tools.
- Support the launch and implementation of RPA solutions.
- Create process and end-user documentation.
- Collaborate with development team members to ensure proper implementation and integration of the solutions.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is the fastest-growing multicategory app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. The company operate in more than 1500 cities across 25 countries.

Together, the company revolutionizes the way people connect with their everyday needs, from delivering essentials to connecting the ecosystem of users through innovative solutions powered by technology.

About the role:
We are seeking a dynamic Financial Planning and Analysis (FP&A) Lead to join our team. In this role, you will oversee financial planning, performance analysis, and reporting to drive informed decision-making and optimize business performance. If you have a passion for data-driven insights and operational excellence, this position is for you.

Required skills:

• Bachelor's in Finance, Accounting, or related field.
• 5+ years in finance, FP&A, or data analysis, ideally in a fast-paced environment.
• Proficiency in MS Excel, Power Query, Looker, and SQL.
• Strong verbal and written skills to present financial data clearly.
• Ability to connect financial performance with business strategy.
• Analytical mindset with a focus on identifying improvements.

• Capable of managing multiple tasks and meeting deadlines in a dynamic setting.

   

Responsibilities:

• Prepare and deliver weekly (WBR) and monthly (MBR) financial performance reports and dashboards for local operations.
• Analyze financial data to uncover insights, identify trends, and propose growth opportunities.
• Monitor revenue and expense alignment with budgets, analyze variances, and suggest improvements.
• Lead the preparation of annual business plans, monthly re-forecasts, and best estimates.
• Reconcile financial and management reports with accounting and operational data to ensure accuracy.
• Collaborate with HQ FP&A and local/global departments to address financial inquiries and provide strategic support.
• Drive automation and process improvements to enhance efficiency and reporting.
• Manage and develop the FP&A team, set goals, and conduct performance reviews.
•  

The company offers:

• Top-notch private health insurance to keep you at your peak.
• Discounted gym memberships to keep you energized.
• Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year.
• Enhanced parental leave, and office-based nursery.
• Online therapy and well-being benefits to ensure your mental well-being.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with the platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for an experienced and strategic Data Engineer, to join the Data Engineering team. In this role, you will lead the development and management of the data processing systems and services, supporting the advanced streaming advertising platform. You will be a hands-on leader, driving the adoption of new tools and paradigms and ensuring the availability and integrity of the data. This role requires a solid ability to coach and manage junior team members, fostering a culture of innovation and excellence.

Requirements:
- 5+ years of work experience as a data engineer, with a proven track record of strategic leadership in data architecture and services.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- Strong hands-on experience in Python, SQL, and REST API development.
- Experience with cloud services, preferably AWS, and containerized applications.
- Excellent leadership and team management skills, with the ability to coach and mentor junior team members.
- Strong understanding of data modeling, relational databases, and engineering best practices.
- Ability to communicate effectively with U.S-based teams and work 11 am - 8 pm EEST.

Would be a plus:
- Advanced certifications in data engineering or cloud services.
- Experience with big data technologies and data warehousing solutions.

Responsibilities:
Strategic Data Leadership:
- Develop and implement a strategic vision for the data architecture, considering new tools, technologies, and paradigms to enhance the data systems.
- Lead the design and development of data services and processing systems that support the platform's needs.
Team Management and Coaching:
- Coach and manage junior team members, providing guidance and mentorship to foster their professional growth.
- Promote a culture of innovation and continuous improvement within the team.
Collaboration and Optimization:
- Work closely with cross-functional teams, including engineers, data scientists, product managers, and designers, to ensure seamless integration and delivery of data solutions.
- Continuously optimize data systems and services for performance, scalability, and reliability.
Data Integrity and Accessibility:
- Ensure the availability and integrity of data throughout the company, making it easily accessible for various teams.
- Implement and maintain data governance and security practices to protect sensitive information.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the role:
We are looking for a Junior Embedded Engineer to become a helping hand for our internal R&D team. You’ll develop a unique product, that can be used by UAVs, ships and aircrafts, and work on the specialized sensor used for different object searches on the ground (occasionally you would be able to see through the wall and through concrete).

Requirements:
- 0,5-1 year of experience as an Embedded Engineer
- Good proficiency in C/C++;
- Knowledge of Matlab or similar tools;
- Good knowledge of linear algebra and math;
- Experience with Arduino, Raspberry Pi, and/or some other embedded platforms;
- Experience in working with programmers, testers, oscilloscopes, etc.;
- Experience in PCB soldering;
- Student/graduate in the field of math, cybernetics or computer engineering.

Will be a plus:
- Proficiency in Python;
- Knowledge of analog circuitry;
- Intermediate English or higher;
- Your own pet projects;
- Experience in task-tracking systems like Jira/Asana.

Soft skills:
- Independent work, without careful supervision, willingness to take responsibility;
- Timely and high-quality delivery of results;
- Ability to learn quickly.

Responsibilities:
- Development and testing of SW for embedded systems and microcontrollers;
- Electronics assembly and soldering;
- Algorithm development for processing the data from ADCs;
- Test plans preparation and execution;
- Close cooperation with the HW team, which develops the products;
- Work on complex R&D projects.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the project:
This is an exciting project with a global leader in the travel industry, a company that is actively investing in cutting-edge technologies to drive a data-led transformation. As part of this initiative, the company has built a state-of-the-art data platform and is now expanding its capabilities to unlock new business insights.

About the role:
We are seeking a Full-Stack Data Engineer to design, develop, and manage scalable data pipelines, storage, and transformation solutions. In this role, you will collaborate with the Data Platform and Business Analytics teams to develop a next-generation data environment. You’ll play a key role in integrating, transforming, and enabling data for advanced reporting, helping the company make smarter, data-driven decisions. If you're passionate about working with best-in-class technologies and shaping the future of data in a dynamic, fast-paced industry, this is the perfect opportunity for you!

Requirements:
- 5+ years in data engineering, analytics engineering, or related fields.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (Master’s preferred).
- Proven experience with Snowflake, DBT, Snaplogic, and modern data technologies.
- Strong background in data modeling, architecture, and cost-efficient pipeline management.
- Experience in deploying data segregation policies, especially logical segregation. Ideally being able to design these policies or support the teams with the design.
- Programming & Scripting: Advanced SQL, Python, Bash/Shell scripting.
- Cloud & Infrastructure: AWS/Azure/GCP, Terraform, CloudFormation, Security (IAM, VPN, Encryption).
- Data Processing: Kafka, Kinesis, Apache Airflow, Dagster, Prefect.
- DevOps & CI/CD: Git, GitHub Actions, Jenkins, Docker, Kubernetes.
- Data Governance & Quality: Data validation, metadata management, GDPR, CCPA compliance.

Would be a plus:
- Strong communication skills for both technical and non-technical audiences.
- Aptitude for bridging the gap between technical and business-focused groups.
- Comfortable engaging with individuals at all organisational levels.
- Problem-solving & analytical mindset, proactive and solution-oriented.
- Agile delivery experience (Scrum, Kanban), with the ability to scope, estimate, and deliver tasks independently.
- Innate drive to learn and adopt new skills and technologies
- Proficiency in managing projects efficiently and addressing challenges collaboratively and proactively.

Responsibilities:
- Architect and deploy scalable, secure, and high-performing Snowflake environments in line with data segregation policies.
- Automate infrastructure provisioning, testing, and deployment for seamless operations.
- Develop, optimize, and maintain data pipelines (ETL/ELT) to ensure efficient data ingestion, transformation, and migration.
- Implement best practices for data consistency, quality, and performance across cloud and on-premises systems.
- Design and implement data models that enable efficient reporting and analytics.
- Develop data transformation processes using Snowflake, DBT, and Python to enhance usability and accessibility.
- Configure and manage secure network connectivity for data ingestion.
- Ensure compliance with GDPR, CISO policies, industry security standards, the Data Segregation Policy is firmly followed for the data sets enabled.
- Implement data validation, anomaly detection, and quality assurance frameworks.
- Collaborate with the Data Governance team to maintain compliance and integrate quality checks into data pipelines.
- Build and optimize real-time streaming and batch processing solutions using Kafka, Kinesis, or Apache Airflow.
- Work closely with business stakeholders, analysts, and data teams to deliver tailored solutions.
- Translate complex technical insights for both technical and non-technical audiences.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with the platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for a visionary Head of Data Science to lead the global science teams in developing cutting-edge algorithms and models that drive advertising effectiveness. This pivotal role reports directly to the Executive Chairman/CPTO and is crucial in advancing the patented technology and enhancing the data-driven advertising solutions.

This position is located Ukraine. The core team is located in Lviv and primarily works remotely, with occasional team meetings in the office.

Requirements:
— Minimum of 10 years of experience in data science, with a strong background in machine learning, statistical modeling, and data analysis.
— PhD or Master’s degree in a quantitative field (e.g., Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, Data Science, Math, Physics, Engineering, Economics, Quantitative Social Sciences, Bio-Statistics, Statistics, or other technical fields with a strong focus on mathematical optimization.)
— Proven track record of leading data science teams and delivering impactful data-driven solutions.
— Experience in digital advertising technology or related fields is highly desirable.
— Excellent communication and leadership skills, with the ability to inspire and lead teams across different locations.

Responsibilities:
Global Data Science Leadership:
— Lead and manage a global team of data scientists and analysts, fostering a culture of innovation, collaboration, and excellence.
— Ensure the data science team is aligned with the company’s strategic goals and product roadmap.
Research and Development:
— Drive research and development efforts in data science, machine learning, and AI to enhance advertising outcomes across various platforms.
— Collaborate with engineering and product teams to integrate data science models and algorithms into the product.
Data Strategy and Innovation:
— Define and execute the data strategy, ensuring the effective use of data in driving advertising optimization and innovation.
— Explore and implement new data sources, methodologies, and technologies to advance the company’s data capabilities.
Collaboration and Communication:
— Work closely with other departments, including engineering, product management, and sales, to ensure the successful implementation and communication of data-driven solutions.
— Represent the company in industry forums, conferences, and collaborations, showcasing our data science expertise and innovations.

The company offers:
— An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
— A collaborative, innovative environment where your contributions make a difference.
— The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
— A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with the platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for a visionary Data Science Lead to lead the global science teams in developing cutting-edge algorithms and models that drive advertising effectiveness. This pivotal role reports directly to the Executive Chairman/CPTO and is crucial in advancing the patented technology and enhancing the data-driven advertising solutions.

This position is located in Kyiv and Lviv, Ukraine. The core team is located in Lviv and primarily works remotely, with occasional team meetings in the office.

Requirements:
— Minimum of 10 years of experience in data science, with a strong background in machine learning, statistical modeling, and data analysis.
— PhD or Master’s degree in a quantitative field (e.g., Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, Data Science, Math, Physics, Engineering, Economics, Quantitative Social Sciences, Bio-Statistics, Statistics, or other technical fields with a strong focus on mathematical optimization.)
— Proven track record of leading data science teams and delivering impactful data-driven solutions.
— Experience in digital advertising technology or related fields is highly desirable.
— Excellent communication and leadership skills, with the ability to inspire and lead teams across different locations.

Responsibilities:
Global Data Science Leadership:
— Lead and manage a global team of data scientists and analysts, fostering a culture of innovation, collaboration, and excellence.
— Ensure the data science team is aligned with the company’s strategic goals and product roadmap.
Research and Development:
— Drive research and development efforts in data science, machine learning, and AI to enhance advertising outcomes across various platforms.
— Collaborate with engineering and product teams to integrate data science models and algorithms into the product.
Data Strategy and Innovation:
— Define and execute the data strategy, ensuring the effective use of data in driving advertising optimization and innovation.
— Explore and implement new data sources, methodologies, and technologies to advance the company’s data capabilities.
Collaboration and Communication:
— Work closely with other departments, including engineering, product management, and sales, to ensure the successful implementation and communication of data-driven solutions.
— Represent the company in industry forums, conferences, and collaborations, showcasing our data science expertise and innovations.

The company offers:
— An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
— A collaborative, innovative environment where your contributions make a difference.
— The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
— A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the project:
This is an exciting project with a global leader in the travel industry, a company that is actively investing in cutting-edge technologies to drive a data-led transformation. As part of this initiative, the company has built a state-of-the-art data platform and is now expanding its capabilities to unlock new business insights.

About the role:
We are seeking a Full-Stack Data Engineer to design, develop, and manage scalable data pipelines, storage, and transformation solutions. In this role, you will collaborate with the Data Platform and Business Analytics teams to develop a next-generation data environment. You’ll play a key role in integrating, transforming, and enabling data for advanced reporting, helping the company make smarter, data-driven decisions. If you're passionate about working with best-in-class technologies and shaping the future of data in a dynamic, fast-paced industry, this is the perfect opportunity for you!

Requirements:
- 5+ years in data engineering, analytics engineering, or related fields.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (Master’s preferred).
- Proven experience with Snowflake, DBT, Snaplogic, and modern data technologies.
- Strong background in data modeling, architecture, and cost-efficient pipeline management.
- Experience in deploying data segregation policies, especially logical segregation. Ideally being able to design these policies or support the teams with the design.
- Programming & Scripting: Advanced SQL, Python, Bash/Shell scripting.
- Cloud & Infrastructure: AWS/Azure/GCP, Terraform, CloudFormation, Security (IAM, VPN, Encryption).
- Data Processing: Kafka, Kinesis, Apache Airflow, Dagster, Prefect.
- DevOps & CI/CD: Git, GitHub Actions, Jenkins, Docker, Kubernetes.
- Data Governance & Quality: Data validation, metadata management, GDPR, CCPA compliance.

Would be a plus:
- Strong communication skills for both technical and non-technical audiences.
- Aptitude for bridging the gap between technical and business-focused groups.
- Comfortable engaging with individuals at all organisational levels.
- Problem-solving & analytical mindset, proactive and solution-oriented.
- Agile delivery experience (Scrum, Kanban), with the ability to scope, estimate, and deliver tasks independently.
- Innate drive to learn and adopt new skills and technologies
- Proficiency in managing projects efficiently and addressing challenges collaboratively and proactively.

Responsibilities:
- Architect and deploy scalable, secure, and high-performing Snowflake environments in line with data segregation policies.
- Automate infrastructure provisioning, testing, and deployment for seamless operations.
- Develop, optimize, and maintain data pipelines (ETL/ELT) to ensure efficient data ingestion, transformation, and migration.
- Implement best practices for data consistency, quality, and performance across cloud and on-premises systems.
- Design and implement data models that enable efficient reporting and analytics.
- Develop data transformation processes using Snowflake, DBT, and Python to enhance usability and accessibility.
- Configure and manage secure network connectivity for data ingestion.
- Ensure compliance with GDPR, CISO policies, industry security standards, the Data Segregation Policy is firmly followed for the data sets enabled.
- Implement data validation, anomaly detection, and quality assurance frameworks.
- Collaborate with the Data Governance team to maintain compliance and integrate quality checks into data pipelines.
- Build and optimize real-time streaming and batch processing solutions using Kafka, Kinesis, or Apache Airflow.
- Work closely with business stakeholders, analysts, and data teams to deliver tailored solutions.
- Translate complex technical insights for both technical and non-technical audiences.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the product:
It is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The broad range of data-driven solutions in data consulting and digital marketing are designed to meet clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:
We are seeking a Frontend Lead, who will join the team.

Requirements:
- 8+ years of experience in front-end development with a strong focus on React.js.
- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
- Proven track record in leading front-end teams and delivering high-quality, scalable web applications.
- Deep knowledge of React.js, JSX, component lifecycle, and advanced state management (e.g., Redux, Context API).
- Strong understanding of component design patterns and state management strategies.
- Expert-level understanding of HTML5, CSS3, and modern CSS frameworks (Sass, Styled Components, etc.).
- Ability to craft pixel-perfect UIs and implement complex layouts with precision.
- Extensive experience with JavaScript (ES6+), including asynchronous programming (Promises, async/await), and RESTful API integrations.
- Expertise in Git and Git workflows, ensuring seamless collaboration and version control in an agile environment.
- Expertise in building responsive and adaptive web applications, leveraging CSS frameworks (Bootstrap, Material-UI) or custom solutions to deliver seamless experiences across all devices.
- Proven experience with front-end testing frameworks (Jest, Mocha, React Testing Library) and integrating with Continuous Integration/Continuous Deployment (CI/CD) pipelines to ensure high-quality, tested code.
- Strong leadership skills with experience mentoring developers and fostering a collaborative, high-performance development environment.

Would be a plus:
- Familiarity with cloud platforms such as Azure and DevOps practices.
- Experience working in an Agile environment and familiarity with Agile tools (Jira, Confluence).

Responsibilities:
- Lead Front-end Development: Oversee and drive the development of responsive, intuitive, and visually appealing user interfaces using React.js. Provide technical leadership, guiding the team in making architectural decisions and solving complex challenges.
- Component and Library Architecture: Lead the design, development, and implementation of reusable UI components and libraries that follow design guidelines and ensure seamless integration with business requirements.
- Cross-functional Collaboration: Partner with UX/UI designers, back-end developers, product managers, and other stakeholders to ensure a unified vision and smooth implementation of features. Foster a collaborative, agile environment, ensuring that all team members contribute to delivering high-quality products.
- Performance Optimization: Identify and address performance bottlenecks, ensuring that web applications are highly performance, scalable, and responsive, even under high traffic conditions.
- Code Quality and Mentorship: Lead by example in writing clean, maintainable, and well-documented code. Promote best practices in code quality, testing, and documentation within the team.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with the platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for an experienced and strategic Data Engineer, to join the Data Engineering team. In this role, you will lead the development and management of the data processing systems and services, supporting the advanced streaming advertising platform. You will be a hands-on leader, driving the adoption of new tools and paradigms and ensuring the availability and integrity of the data. This role requires a solid ability to coach and manage junior team members, fostering a culture of innovation and excellence.

Requirements:
- 5+ years of work experience as a data engineer, with a proven track record of strategic leadership in data architecture and services.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- Strong hands-on experience in Python, SQL, and REST API development.
- Experience with cloud services, preferably AWS, and containerized applications.
- Excellent leadership and team management skills, with the ability to coach and mentor junior team members.
- Strong understanding of data modeling, relational databases, and engineering best practices.
- Ability to communicate effectively with U.S-based teams and work 11 am - 8 pm EEST.

Would be a plus:
- Advanced certifications in data engineering or cloud services.
- Experience with big data technologies and data warehousing solutions.

Responsibilities:
Strategic Data Leadership:
- Develop and implement a strategic vision for the data architecture, considering new tools, technologies, and paradigms to enhance the data systems.
- Lead the design and development of data services and processing systems that support the platform's needs.
Team Management and Coaching:
- Coach and manage junior team members, providing guidance and mentorship to foster their professional growth.
- Promote a culture of innovation and continuous improvement within the team.
Collaboration and Optimization:
- Work closely with cross-functional teams, including engineers, data scientists, product managers, and designers, to ensure seamless integration and delivery of data solutions.
- Continuously optimize data systems and services for performance, scalability, and reliability.
Data Integrity and Accessibility:
- Ensure the availability and integrity of data throughout the company, making it easily accessible for various teams.
- Implement and maintain data governance and security practices to protect sensitive information.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the role:
We are looking for a Junior Embedded Engineer to become a helping hand for our internal R&D team. You’ll develop a unique product, that can be used by UAVs, ships and aircrafts, and work on the specialized sensor used for different object searches on the ground (occasionally you would be able to see through the wall and through concrete).

Requirements:
- 0,5-1 year of experience as an Embedded Engineer
- Good proficiency in C/C++;
- Knowledge of Matlab or similar tools;
- Good knowledge of linear algebra and math;
- Experience with Arduino, Raspberry Pi, and/or some other embedded platforms;
- Experience in working with programmers, testers, oscilloscopes, etc.;
- Experience in PCB soldering;
- Student/graduate in the field of math, cybernetics or computer engineering.

Will be a plus:
- Proficiency in Python;
- Knowledge of analog circuitry;
- Intermediate English or higher;
- Your own pet projects;
- Experience in task-tracking systems like Jira/Asana.

Soft skills:
- Independent work, without careful supervision, willingness to take responsibility;
- Timely and high-quality delivery of results;
- Ability to learn quickly.

Responsibilities:
- Development and testing of SW for embedded systems and microcontrollers;
- Electronics assembly and soldering;
- Algorithm development for processing the data from ADCs;
- Test plans preparation and execution;
- Close cooperation with the HW team, which develops the products;
- Work on complex R&D projects.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is the fastest-growing multicategory app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. The company operate in more than 1500 cities across 25 countries.

Together, the company revolutionizes the way people connect with their everyday needs, from delivering essentials to connecting the ecosystem of users through innovative solutions powered by technology.

About the role:
We are seeking a dynamic Financial Planning and Analysis (FP&A) Lead to join our team. In this role, you will oversee financial planning, performance analysis, and reporting to drive informed decision-making and optimize business performance. If you have a passion for data-driven insights and operational excellence, this position is for you.

Required skills:

• Bachelor's in Finance, Accounting, or related field.
• 5+ years in finance, FP&A, or data analysis, ideally in a fast-paced environment.
• Proficiency in MS Excel, Power Query, Looker, and SQL.
• Strong verbal and written skills to present financial data clearly.
• Ability to connect financial performance with business strategy.
• Analytical mindset with a focus on identifying improvements.

• Capable of managing multiple tasks and meeting deadlines in a dynamic setting.

   

Responsibilities:

• Prepare and deliver weekly (WBR) and monthly (MBR) financial performance reports and dashboards for local operations.
• Analyze financial data to uncover insights, identify trends, and propose growth opportunities.
• Monitor revenue and expense alignment with budgets, analyze variances, and suggest improvements.
• Lead the preparation of annual business plans, monthly re-forecasts, and best estimates.
• Reconcile financial and management reports with accounting and operational data to ensure accuracy.
• Collaborate with HQ FP&A and local/global departments to address financial inquiries and provide strategic support.
• Drive automation and process improvements to enhance efficiency and reporting.
• Manage and develop the FP&A team, set goals, and conduct performance reviews.
•  

The company offers:

• Top-notch private health insurance to keep you at your peak.
• Discounted gym memberships to keep you energized.
• Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year.
• Enhanced parental leave, and office-based nursery.
• Online therapy and well-being benefits to ensure your mental well-being.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the company:
Our client is the market-leading intelligence platform for paid search advertising. The unique combination of artificial search intelligence and inside industry knowledge, will help you drive more value from your PPC budget, from maximizing ROI to protecting your brand.

About the role:
We are seeking a skilled and experienced Data Engineer to join a dynamic team.

Requirements:
- Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.
- Commercial experience developing Spark Jobs using Scala and Java
- Experience in data processing using traditional and distributed systems (Hadoop, Spark, AWS - S3) and designing data models and data warehouses.
- Strong understanding and application of data structures and algorithms in building efficient solutions.
- Experience in SQL, and NoSQL database management systems (PostgreSQL and Cassandra).
- Commercial experience using messaging technologies (RabbitMQ, Kafka).
- Experience using orchestration software (Chef, Puppet, Ansible, Salt).
- Confident with building complex ETL workflows (Luigi, Airflow).
- Good knowledge of working cloud technologies (AWS, GCP) and using monitoring software (ELK stack).
- Motivated problem-solving skills, ability to bring ideas forward and adapt solutions to complex challenges.

Nice to have:
- Experience of working with Python.

Responsibilities:
- Understand distributed technologies and the best practices around them.
- Build and maintain services/features/libraries that serve as a definitive examples for new engineers.
- Design and write effective complex Spark jobs (data processes, aggregations, pipeline), complex asynchronous, highly parallel low latency APIs and processes.
- Work as part of an Agile team to maintain, improve, monitor the company's data collection processes using Scala and Java.
- Apply industry practices such as TDD and SOLID.
- Understand and be able to apply data structures and algorithms.
- Understand the company's data architecture and use appropriate design patterns.
- Design and implement databases for relational and non-relational storage technologies.
- Support the Data Science team to help deliver their machine learning models in to production environments

We offer:
- Good compensation;
- Benefit package;
- Strong team and career growth.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the project:
The project deals with financial forecasts, harness technology, data analytics, and deep market insights to deliver attractive, risk-adjusted returns for investors, regardless of market cycles or phases.

About the role:
We are looking for a Machine Learning Engineer to join the team.

Requirements:
- 2+ years of experience as a Machine Learning Engineer.
- Experience of working with time series, LSTM, Arima, and Gradient Boosting.
- Previous experience of working in the fintech is a must.
- BS/MS in AI, Computer Science, Mathematics, or related field.
- Expertise in statistical modeling and quantitative analysis.
- Experience with big data frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka).
- Proven experience of working with data visualization (e.g., Matplotlib, PowerBI, Tableau).
- Previous experience working with core libraries: TensorFlow, PyTorch, Scikit-learn, and Statsmodels.
- Strong hands-on experience with Pandas, NumPy, SciPy, TA-Lib, PyWavelets, pykalman.
- Excellent knowledge of PostgreSQL, S3/GCS, MLFlow, Ray Tune/Optuna.
- Experience of working with Cloud Services: AWS/GCP/Azure.

Would be a plus:
- Understanding of trading principles, market microstructure, algorithmic trading strategies, and various financial instruments (stocks, indices, ETFs, commodities).
- Experience with developing and implementing trading strategies, portfolio management, and risk management techniques.
- Understanding of overfitting issues and knowing how to deal with that and walk-forward testing, k-fold cross-validation.
- Ability to translate complex analytical findings into trading decisions for both technical and non-technical colleagues.
- Expertise in simulation techniques, ensuring strategies are validated against realistic market conditions.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
Our client is a trailblazer in data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through advanced analytics and machine learning techniques. The company aims to revolutionize advertising by enabling brands to reach their audiences more effectively.

About the role:
We are looking for an experienced Full Stack Engineer to join the engineering team to develop cutting-edge insights and analytics capabilities in a new CTV platform that is built from the ground up to utilize a product-led growth (PLG) approach.

In this role, you will work closely with product managers, designers, and data engineers to ensure seamless integration of analytics features into the platform. The ability to frequently iterate and deliver high-quality features that are owned end-to-end is crucial in this role.

This position is located in either Kyiv or Lviv, Ukraine. The team is located in both Kyiv and Lviv and primarily works remotely, with occasional team meetings in the Lviv office.

Requirements:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- 2+ years of experience in full stack development of backend services and systems that support our platform’s needs, with a primary focus on Ruby and
- Experience with cloud services, preferably AWS, and containerized applications (Docker)
- Strong proficiency in TypeScript, including strong typing and interface design for scalable codebases.
- Deep understanding of React and its ecosystem, including hooks, functional components and React Server Components (RSC).
- Proficiency in Tailwind CSS for building responsive, accessible, and aesthetically pleasing UIs.
- Experience in building data visualization tools and dashboards using React-based libraries (e.g., D3.js, Chart.js).
- Experience with SSR (Server-Side Rendering) and SSG (Static Site Generation) using Next.js, optimizing for performance and SEO.
- Proficiency in backend development (e.g. Node.js) with tRPC as an API framework.
- Experience designing and developing APIs, handling authentication, authorization, and security best practices.
- Proficiency in building scalable and reliable data-fetching layers, especially for real-time or large-scale analytics.
- Experience with serverless architectures, understanding of edge computing, and CDN usage for enhancing performance and reliability.
- Solid experience with Vercel or other serverless platforms for deployment, CI/CD pipelines, and performance monitoring.
- Experience with unit and end-to-end testing frameworks such as Vitest, Cypress, or similar, ensuring quality and stability of applications.
- Proficiency in Git for version control, including experience with pull requests, code reviews, and branching strategies.

Would be a plus:
- Familiarity with CTV platforms or working experience in digital advertising or media analytics.
- Knowledge of SEO, accessibility, and performance optimization for web applications.

Responsibilities:
- Maintenance of the existing B2B CTV platform (Ruby).
- Design and implement insights and analytics dashboards for the CTV platform, providing users with actionable data to enhance their campaigns.
- Develop both frontend and backend services using Ruby, React, Next.js, and TypeScript, ensuring seamless integration between components.
- Build robust, scalable APIs using tRPC to serve analytics data to the frontend application.
- Create efficient server-side rendered (SSR) or static site-generated (SSG) pages via Next.js for performance-optimized analytics displays.
- Collaborate with the designers to implement responsive and visually appealing user interfaces using Tailwind CSS, ensuring a smooth, intuitive experience for the platform’s users.
- Optimize the full stack to ensure quick load times, low-latency data fetching, and smooth user experiences, especially for data-heavy visualizations and analytics pages.
- Deploy and manage the platform using Vercel, taking advantage of its serverless functions for backend processes and ensuring efficient deployments and scaling.
- Participate in code reviews, pair programming, and knowledge-sharing sessions to ensure high-quality, maintainable code.
- Implement unit and end-to-end testing for both frontend and backend components to ensure reliability and reduce bugs in production.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.