
AI-Machine Learning Data Scientist
1 week ago
As an applied data science engineer, you will design and implement machine learning models for personalization, demand forecasting, route optimization, pricing, anomaly detection, and recommendations. Your work will have a significant impact on our organization's success.
Key Responsibilities:- Develop and train machine learning models using various algorithms and techniques.
- Collaborate with cross-functional teams to translate business requirements into production-ready systems.
- Design and maintain data pipelines to feed machine learning models and analytics dashboards.
- Perform statistical analysis, A/B testing, and causal inference for product and growth experiments.
- Read and adapt academic research papers into practical product applications.
- Ensure model lifecycle management: data collection, feature engineering, training, deployment, monitoring, and retraining.
- Background in Computer Science, Engineering, or Mathematics from top institutions.
- 2-6 years of experience in data science and engineering.
- Strong fundamentals in algorithms, data structures, ML/DL, and statistics.
- Proficiency in Python and libraries like TensorFlow/PyTorch, Scikit-learn, Pandas, NumPy, SciPy.
- Hands-on experience with SQL and data pipelines (Airflow, Spark, Kafka, dbt, or equivalent).
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive compensation package.
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