Data Science Manager - NLP/Image Processing

<p></p><p>Key Responsibilities :</p><p><br/></p><p>- Design, develop, and deploy machine learning models for recommender systems, NLP, user profiling, image processing, and anomaly detection.</p><p><br/></p><p>- Analyze large datasets to uncover meaningful insights and inform business decisions.</p><p><br/></p><p>- Develop and maintain data pipelines, feature engineering workflows, and model evaluation frameworks.</p><p><br/></p><p>- Collaborate with product, engineering, and business teams to integrate ML solutions into consumer-facing products.</p><p><br/></p><p>- Build and maintain visualizations and dashboards using Redshift, Tableau, Looker, or similar tools to communicate insights effectively.</p><p><br/></p><p>- Continuously explore new algorithms, tools, and techniques to improve ML performance and scalability.</p><p><br/></p><p>Required Skills & Qualifications : </p><p><br/></p><p>- 3 - 5 years of experience in Data Science / Machine Learning with consumer internet or B2C products.</p><p><br/></p><p>- Degree in Statistics, Computer Science, Engineering, or relevant certification in Data Science.</p><p><br/></p><p>- Expertise in machine learning algorithms, including recommender systems, NLP, image processing, and anomaly detection.</p><p><br/></p><p>- Strong statistical skills and experience analyzing large, complex datasets.</p><p><br/></p><p>- Proficiency in Python, R, SQL, and ML libraries/frameworks such as NumPy, Pandas, scikit-learn, Keras, TensorFlow (or equivalents).</p><p><br/></p><p>- Experience with data visualization tools like Redshift, Tableau, Looker, or similar.</p><p><br/></p><p>- Strong problem-solving skills, curiosity, and a data-driven mindset.</p><p><br/></p><p>- Ability to work independently and collaboratively in a fast-paced environment.</p><p></p> (ref:hirist.tech)