This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Assist in developing and scaling a data pipeline capable of managing extensive data volumes and generating over one million predictions per second.

• Design and conduct experiments focused on feature engineering, model optimization, and innovative ML tools.

• Implement classical machine learning techniques on tabular data, natural language processing (NLP), and user embeddings.

• Contribute to deep learning initiatives through feature embeddings and analysis of text-based app descriptions.

• Work alongside engineering teams to enhance the data processing pipeline.

• Introduce AutoML strategies to automate segments of the analysis workflow.

• Investigate data preprocessing techniques, develop visualizations, and oversee experimental monitoring.

⛳️ Requirements

• A minimum of 4 years in a data science position.

• Experience in ad-tech, mobile marketing, or gaming is highly advantageous.

• Proficient in Python, SQL, and Spark.

• Practical experience with boosted trees and the XGBoost algorithm.

• Strong grounding in classical machine learning, including the underlying mathematics.

• Familiarity with ELK stack and AWS services such as S3, Athena, Snowflake, Aerospike, EMR, and SageMaker.

• Experience with Docker is preferred.

• Solid understanding of object-oriented programming (OOP), object-oriented analysis and design (OOAD), and SOLID design principles.

• Strong communication skills in English for effective daily collaboration within a global team.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive team environment.

• Access to cutting-edge technologies and tools.