data Scientist (Mid-Level)
Rehovot
Key Responsibilities:
Develop ML Pipelines: Design, develop, and deploy scalable Machine Learning pipelines for processing large-scale data, from data ingestion to model deployment.
Model Training & Optimization: Train, evaluate, and optimize Machine Learning models tailored to our Ad-Tech use cases, including but not limited to predictive modeling, recommendation systems, and personalization.
data Research & Analysis: Conduct deep research on large datasets to extract actionable insights, identify trends, and inform model development. Stay up-to-date with the latest industry trends and incorporate best practices into your work.
Collaboration: Work closely with cross-functional teams, including data scientists, traders, software developers, and product managers, to integrate Machine Learning models into production environments.
Requirements: Educational Background: Bachelors or Masters degree in Computer Science, data Science, Machine Learning, or a related field.
Experience:
3-5 years of experience in Machine Learning engineering, preferably within the Ad-Tech industry.
Proven experience in building and deploying Machine Learning models in production environments.
Technical Skills:
Proficiency in programming languages such as Python
Strong understanding of Machine Learning algorithms, data structures, and statistical analysis.
Experience with ML frameworks like LightGBM, TensorFlow.
Experience with cloud platforms (GCP)
Strong SQL skills and experience with large-scale data processing with BigQuery.
Preferred Qualifications:
Experience with Ad-Tech platforms, Real-Time Bidding (RTB), and digital advertising ecosystems.
Knowledge of A/B testing, multivariate testing, and other experiment design methodologie
This position is open to all candidates.