Data Science UA

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

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

About the role:
We are seeking an experienced and motivated Senior Data Scientist to join our dynamic team. The ideal candidate will have deep expertise in supervised learning, reinforcement learning, and optimization techniques. You will play a pivotal role in developing and implementing advanced machine learning models, driving actionable insights, and optimizing our advertising solutions.
This position is based in Ukraine. The team primarily works remotely, with occasional in-person meetings in the Kyiv or Lviv office.

Responsibilities:
- Develop and implement advanced supervised and reinforcement learning models to improve ad targeting and campaign performance.
- Collaborate with cross-functional teams to identify opportunities for leveraging machine learning and optimization techniques to solve business problems.
- Conduct extensive data analysis and feature engineering to prepare datasets for machine learning tasks.
- Apply optimization algorithms to enhance the effectiveness and efficiency of advertising campaigns.
- Evaluate and refine existing models to enhance their accuracy, efficiency, and scalability.
- Utilize statistical techniques and machine learning algorithms to analyze large and complex datasets.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
- Stay updated with the latest advancements in machine learning, reinforcement learning, and optimization techniques.
- Work with engineering teams to integrate models into production systems.
- Monitor, troubleshoot, and improve the performance of deployed models.
- Mentor junior data scientists and contribute to the continuous improvement of the data science practice within the company.

Requirements:
- 5+ years of experience in data science or machine learning roles, with a strong focus on supervised learning, reinforcement learning, and optimization techniques.
- Technical Skills:
- Proficiency in Python.
- Strong understanding of working with relational databases and SQL.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
- Deep understanding of statistical modeling and supervised learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVMs, gradient boosting, neural networks).
- Hands-on experience with reinforcement learning algorithms and frameworks like OpenAI Gym.
- Practical experience with optimization algorithms (linear, non-linear, combinatorial, etc.).
- Hands-on experience with data manipulation tools and libraries (e.g., pandas, NumPy).
- Familiarity with cloud services, specifically AWS, is a plus.
- Practical experience building and managing cloud-based ML pipelines using AWS services (e.g. SageMaker, Bedrock) is a plus.
- Education:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is a plus.

Other Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to clearly articulate complex concepts to diverse audiences.
- Ability to work in a fast-paced environment and manage multiple priorities.
- Strong organizational skills and attention to detail.
- Ability to mentor and guide junior data scientists.
- Must be able to communicate with U.S.-based teams

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.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in 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.

About the role:
We are looking for a proactive Data Analyst to join a dynamic data squad. In this role, you will be responsible for analysing data from a business data platform in Microsoft Fabric and providing insights to the team on business metrics, data quality and availability. As part of this work, you will also participate in data discovery (including meeting business users) to establish an up to date governance process (data dictionary or catalog, data ownership model, etc.) as well as in providing recommendations for improving current data pipelines to better achieve business goals.

Key Responsibilities:
- Lead structured discovery engagements to understand business objectives, marketing use cases (e.g. SEO, paid media), and data challenges.
- Review and explore data within Microsoft Fabric and other relevant data sources to assess availability, quality, and readiness for marketing use cases.
- Analyse data sourcing, integrations, and end-to-end data flows across systems to identify gaps and dependencies and map data lineage.
- Translate discovery findings into clear, actionable recommendations for engineering and delivery teams, including data models, pipelines, and activation layers.
- Collaborate closely with business analysts to ensure alignment between business requirements and technical insights.
- Some elements of build (pipelines or data catalog and other governance tooling

Required:
- 1–3 years of experience as a data analyst.
- Strong proficiency in SQL.
- Experience with modern cloud data stacks (data warehouses, cloud storage).
- Ability to produce reports from data (e.g. via jupyter notebooks, SQL queries or Excel) and present them to business users.
- Ability to work independently and communicate effectively with onshore teams.
- Experience with Power BI or similar BI tools.

Desired:
- Highly desirable: Prior exposure to consumer data domains such as Loyalty, Promotions, Subscriptions, or E-commerce.
- Highly desirable: worked with Microsoft Fabric (OneLake, Azure Synapse, etc.).
- Highly desirable: Experience with any of the following data: SEO (e.g. GSC), Paid Media (e.g. Meta, Google), Retail Media (e.g. Amazon), Web Analytics (GA4, Adobe Analytics)
- Demonstrable experience setting up data quality monitoring workflows.
- Experience with using git.
- Experience analysing data or creating ETL workflows with Python

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