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 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 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 Senior Golang Engineer to join the team. In this role, you will develop and ensure the performance/reliability of backend systems and services, supporting the engagement & monetization platform for Free-To-Play (F2P) console & PC games, that lets game publishers & developers drive lifetime value and in-game spending through rewarded video.

Requirements:
- 5+ years of work experience as a backend engineer, with a proven track record of implementing complex backend architectures and services.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- Experience designing and building scalable, high-performance backend systems, and solid understanding of microservice architecture.
- Strong understanding of backend development, relational databases, and engineering best-practices.
- Experience with Agile practices, including test-driven development, continuous integration/deployment and Scrum.
- Proficiency with relational databases and designing data models for backend applications (PostgreSQL, MySQL, etc.)
- Experience with cloud services, preferably AWS, and containerized applications (Docker).
- Strong proficiency and hands-on experience in Golang.

Would be a plus:
- Experience of working with Python, messaging systems (AWS SQS, RabbitMQ, etc.), asynchronous and multithreaded development.
- Knowledge of AWS CloudFormation or CDK.

Responsibilities:
- Design and build distributed services that are fault-tolerant, scalable, testable and maintainable.
- Collaborate with product managers, engineers, and technical leads to design and implement features and improvements throughout multiple areas of the platform.
- Optimize existing services and features for maximum speed and scalability.
- Maintain and develop continuous integration/continuous deployment (CI/CD) pipelines.
- Create and maintain technical documentation.

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:
Our client is a large-scale financial project with an extensive network and a strong market presence. The company manages vast amounts of financial data and is focused on enhancing its data infrastructure to support innovative solutions. With a commitment to long-term development, the team works on complex, high-impact projects — from optimizing data pipelines to implementing modern technologies across both cloud and on-premises environments. This is an opportunity to join a dynamic, data-driven company that values technical expertise and encourages growth.

About the role:
We are looking for a talented and passionate Data Engineer to join the team.

Requirements:
- 3-5+ years of experience working as a Data Engineer;
- Master’s or PhD in Mathematics, Cybernetics, Computer Science, or a related field.
- Experience building and scaling data pipelines on large tabular data using cloud and on-premises;
- Understanding data requirements from the DS team;
- Transforming raw data with issues into ready data for modeling;
- Experience working with temporal data and scraping;
- Experience of working with Python, PyTorch, Pandas, Oracle DB;
- Knowledge of cloud technologies, such as AWS and Python ecosystem;
- English - Upper-intermediate+.

Responsibilities:
- Design and implement scalable data pipelines for financial information processing using Python;
- Design and support hybrid data infrastructure spanning on-premises and AWS environments;
- Implement and support data integration solutions using tools such as Airbyte;
- Ensure data quality, reliability, and system performance;
- Collaborate with data scientists and analysts to optimize data delivery;
- Establish best practices for data processing and documentation processes.

The company offers:
- Medical insurance;
- Laptop and cloud services by the company;
- Paid training, the opportunity to participate in the creation and publication of scientific articles (open-source knowledge development);
- Social package (paid sick leaves and vacation).

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 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 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 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 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 role:
We are looking for a talented and passionate NLP Engineer (LLM) to join the team. In this role, you will be at the forefront of developing cutting-edge product using large language models (LLMs). This position is ideal for someone who has a deep understanding of deep learning, natural language processing (NLP), and has practical experience with LLMs.

Requirements:
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong programming skills in Python, including experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Knowledge of natural language processing techniques, including tokenization, stemming, lemmatization, and part-of-speech tagging.
- Hands-on experience with large language models and their applications.
- Experience with translation models including transformer models (BERT, GPT, T5, etc.), which are the backbone of modern LLMs.
- Excellent problem-solving abilities and a passion for innovation.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience working in a fast-paced, startup environment.

Responsibilities:
- Fine-tune LLMs: Customize and optimize existing LLMs to fit the specific needs and improve performance.
- Research and Innovation: Stay abreast of the latest developments in LLMs, deep learning, and NLP. Propose and implement innovative approaches to solve complex problems.
- Collaboration: Work closely with the product and engineering teams to integrate machine learning models into the products and ensure they meet the high standards of scalability and reliability.

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.

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 7 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 a pioneering force in the healthcare industry, passionately driving innovations that shape the future of clinical trials and studies. By leveraging state-of-the-art technology, they aim to simplify and revolutionize the clinical research landscape.

About role:
We are looking for a talented full-time Junior Statistician. The ideal candidate will be a motivated self-starter with a strong math background.You will join the interesting project to implement your knowledge and skills in the best way.

Requirements:
- BA/BS or equivalent experience in mathematics, statistics, computer science or related fields.
- Strong knowledge of statistics & probability theory.
- Python programming skills.
- Intermediate+ English.
- Strong organizational skills.
- Strong attention to detail as well as good problem-solving, time management, and logic skills.
- Passion for research and self-improvement.
- Excellent verbal and written communication skills, with the ability to present data clearly and concisely to clinical teams and external stakeholders.

Responsibilities:
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Perform actuarial & machine learning research on big datasets
- Work with management and colleagues to prioritize needs.
- Locate and define new process improvement opportunities
- Reporting: writing automated scripts that provide for report generation

The company offers:
- Competitive salary and benefits.
- Opportunity to work on an innovative, AI-driven healthcare project.
- Flexible, remote working environment.

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 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.