Are you passionate about turning complex data into actionable insights? Join us as a Strong Middle/Senior Data Scientist and help shape cutting-edge AdTech solutions that reach millions of users worldwide. This is a remote role with flexibility to work from Ukraine, Europe, or LATAM.
We at Sigma Software bring together talented professionals to deliver high-load, data-driven platforms for global clients. Here, your expertise will be valued, your voice heard, and your career empowered. Why join us? You’ll work with modern technologies, collaborate with top-tier teams, and contribute to projects that make a real impact in the marketing and advertising industry.
CUSTOMER
Our customer is an international technology company specializing in high-load platforms for data processing and analytics. Their core product enables businesses to manage massive datasets, create predictive models, and extract actionable insights. Operating globally, they serve clients primarily in marketing and advertising, leveraging microservices architecture and cloud-based solutions.
PROJECT
The project focuses on designing and implementing advanced machine learning models, building scalable data pipelines, and delivering analytical solutions for high-volume datasets. The goal is to improve product performance, enable better targeting and personalization in AdTech, and ensure model accuracy and reliability.
- Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain
- Analyze large datasets to generate actionable insights and improve product performance
- Build and maintain scalable data pipelines using big data tools and frameworks
- Perform data preprocessing, cleaning, feature engineering, and model evaluation
- Collaborate with cross-functional teams including engineers, analysts, and product managers
- Ensure model accuracy, reliability, and scalability through rigorous testing and validation
- Stay updated on emerging data science techniques, tools, and best practices
- Contribute to team discussions, process improvements, and knowledge sharing
- 4+ years of experience in data science projects applying machine learning, statistical modeling, and data mining techniques
- Hands-on experience working with Natural Language Processing (NLP) and Large Language Models (LLMs), including applying them to real-world business problems
- Strong understanding of statistics and ability to apply statistical methods to analyze data and validate model performance
- Proficiency in Python or R for data analysis and model development
- Strong SQL skills and experience working with big data technologies such as Hive and Spark
- Hands-on experience with PySpark or RSpark for large-scale data processing
- Experience building, evaluating, or optimizing ML/NLP models in production or near-production environments
- At least Upper-Intermediate level of English
PERSONAL PROFILE
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
- Strong problem-solving and decision-making skills, with a focus on driving results and meeting deadlines
- Self-motivated, adaptable, and eager to learn new technologies and frameworks
