Data Scientist

Overview

This opportunity is offered on behalf of a partner company based in Ireland seeking a Data Scientist. The role involves building and refining sophisticated machine-learning models that handle terabytes of data to support billions of real-time advertising requests globally. You will be engaged in the full lifecycle of data science tasks, spanning research, exploration, model design, and deployment.

Responsibilities

• Create and optimize machine-learning products from initial experimentation to production deployment.
• Enhance models by integrating new features, parameter tuning, and utilizing diverse data sources.
• Work collaboratively with machine learning engineering teams to implement scalable supervised and unsupervised algorithms.
• Investigate data sources to uncover improvement opportunities for models and insights.
• Research innovative machine-learning techniques to improve various facets of the advertising product lifecycle.
• Design and evaluate A/B tests to validate assumptions and quantify the impact on products and models.
• Apply algorithms for tasks like prediction, clustering, and anomaly detection on large-scale sparse datasets.
• Develop dashboards and SQL-based tools to monitor model and product outcomes.
• Write clean, maintainable, well-tested code contributing to robust data science workflows.
• Collaborate with diverse teams to translate complex issues into scalable solutions focused on business value.
• Maintain focus on practical impact ensuring machine learning efforts deliver measurable benefits.

Qualifications

• Minimum three years of relevant experience creating data science solutions from research stages to production.
• Proficient in writing clean, reproducible, and well-tested code.
• Advanced skills in Python, Spark, Hadoop, Airflow, Docker, and SQL.
• Experience with algorithms suited for sparse, large-scale datasets, including prediction, clustering, and outlier detection.
• Solid understanding of data evaluation, experimentation, and statistical methods including A/B test design and interpretation.
• Previous experience within the Ad-Tech sector is mandatory.
• Familiarity with production use of Gradient Boosting Trees such as CatBoost or LightGBM is advantageous.
• Experience with neural networks for classification, regression, or multi-task learning highly valued.
• Knowledge of reinforcement learning and large-scale optimization is a strong plus.
• Comfortable building and using dashboard and SQL monitoring tools.
• Excellent communication and teamwork capabilities across various technical and non-technical teams.
• Preference for straightforward, impactful solutions avoiding unnecessary complexity.
• Curiosity and eagerness to experiment and continually improve models.
• Ability to thrive in a diverse, international, remote working environment.

Benefits

• Direct interaction with company founders and opportunities to influence product and strategic directions.
• Strong prospects for professional growth and ongoing learning.
• Collaboration with seasoned professionals shaping the future of Ad-Tech worldwide.
• Work within a multinational, motivated, and geographically distributed team.
• Fully remote work option with flexible arrangements and opportunity to relocate to Berlin office.
• Home office setup budget of $500 and a $1,000 annual budget for learning and development.
• Engagement with large-scale machine learning systems handling massive datasets and real-time advertising data.
• International, collaborative environment encouraging innovation, experimentation, and ownership.