
Data Science Manager
23 hours ago
Key Responsibilities :
- Design, develop, and deploy machine learning models for recommender systems, NLP, user profiling, image processing, and anomaly detection.
- Analyze large datasets to uncover meaningful insights and inform business decisions.
- Develop and maintain data pipelines, feature engineering workflows, and model evaluation frameworks.
- Collaborate with product, engineering, and business teams to integrate ML solutions into consumer-facing products.
- Build and maintain visualizations and dashboards using Redshift, Tableau, Looker, or similar tools to communicate insights effectively.
- Continuously explore new algorithms, tools, and techniques to improve ML performance and scalability.
Required Skills & Qualifications :
years of experience in Data Science / Machine Learning with consumer internet or B2C products.
- Degree in Statistics, Computer Science, Engineering, or relevant certification in Data Science.
- Expertise in machine learning algorithms, including recommender systems, NLP, image processing, and anomaly detection.
- Strong statistical skills and experience analyzing large, complex datasets.
- Proficiency in Python, R, SQL, and ML libraries/frameworks such as NumPy, Pandas, scikit-learn, Keras, TensorFlow (or equivalents).
- Experience with data visualization tools like Redshift, Tableau, Looker, or similar.
- Strong problem-solving skills, curiosity, and a data-driven mindset.
- Ability to work independently and collaboratively in a fast-paced environment.
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