Senior Data Scientist

New
Remote (Global)Full-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
4+ years
Required Skills
AWSDockerPythonSQLMachine LearningSparkDeep LearningNLP

Requirements

  • 4+ years of professional experience in a data science role.
  • Excellent command of Python, SQL, and Spark.
  • Hands-on expertise with boosted trees and XGBoost.
  • Strong foundation in classical machine learning, including underlying mathematical concepts.
  • Experience with ELK stack and AWS ecosystem, including S3, Athena, EMR, and SageMaker.
  • Experience with Snowflake and Aerospike databases.
  • Proficiency with Docker.
  • Solid understanding of object-oriented programming (OOP), object-oriented analysis and design (OOAD), and SOLID design principles.
  • Strong English communication skills for daily collaboration in a global team.
  • Background in ad-tech, mobile marketing, or gaming is a strong plus.

Responsibilities

  • Build and scale a data pipeline handling massive data volumes exceeding a million predictions per second.
  • Design and execute experiments across feature engineering, model optimization, and evaluation of new ML tooling.
  • Apply classical machine learning on tabular data and develop NLP and embedding solutions for user profiling.
  • Contribute to deep learning initiatives integrating feature embeddings with text-based analysis.
  • Collaborate with engineering teams to refine and optimize data processing pipelines.
  • Integrate AutoML techniques into existing workflows to automate analysis.
  • Explore new data preprocessing methods and build visualizations to monitor experimental performance.
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