Вакансії
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.
Requirements:
- Minimum of 10 years of experience in data science, with a strong background in machine learning, statistical modeling, and data analysis.
- 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.
As a plus:
- 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.)
Responsibilities:
- 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.
- 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.
- 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.
- 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 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 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, 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 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, 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 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, 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 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, boasting a network of over 30,000 AI top engineers.
About the client:
Our client is a product company, one of the largest holdings of IT products in Ukraine. The company creates helpful educational apps for kids from all around the globe.
About the role:
We are looking for an experienced Data Engineer to join the team.
Requirements:
- Minimum 2 years of experience as a Data Engineer.
- Extensive experience implementing tasks in Python.
- Experience working with Airflow, Git and DBT.
- Excellent knowledge of SQL.
- Deep understanding of ELT processes.
Responsibilities:
- Development and support of Data Pipelines (ELT).
- Data modeling for analytical needs.
- Creation and support of cloud infrastructure for working with data.
- Ensuring high data quality.
The company offers:
- Opportunity to work on a cutting-edge localization platform with AI-driven innovation.
- A collaborative, dynamic team environment with a culture of learning and growth.
- Competitive salary and flexible work arrangements.
