Data Scientist - Numpy/Pandas

<p><p><b>Job Description :</b><br/><br/>We are looking for a self-motivated Data Scientist with strong analytical and problem-solving skills, capable of working with large and diverse datasets to develop and deploy AI/ML-driven solutions.<br/><br/>The ideal candidate should have hands-on experience in Python programming, machine learning algorithms, and Generative AI, along with expertise in building production-grade solutions.<br/><br/>Experience with MLOps will be an added advantage.<br/><br/><b>Responsibilities :</b><br/><br/>- Analyze complex datasets and identify actionable insights and patterns.<br/><br/>- Develop, train, and deploy machine learning and generative AI models for real-world applications.<br/><br/>- Build and implement data models and algorithms to optimize business performance.<br/><br/>- Collaborate with cross-functional teams to integrate models into production systems.<br/><br/>- Monitor, evaluate, and improve model performance continuously.<br/><br/><b>Requirements :</b><br/><br/>- 35 years experience as a Data Scientist or similar role.<br/><br/>- Strong proficiency in Python and data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, and Jupyter.<br/><br/>- Solid understanding of AI/ML algorithms, data mining, and statistical modeling techniques.<br/><br/>- Experience with RDBMS, NoSQL, or Graph databases.<br/><br/>- Strong understanding of product development and end-to-end solution implementation.<br/><br/>- Excellent communication and problem-solving skills.<br/><br/>- Bachelors or Masters degree in Computer Science, Data Science, or a related quantitative field.<br/><br/><b>Mandatory Skills :</b> Python, AI/ML Algorithms, Generative AI, Product Development, Production-Grade Implementation<br/><br/><b>Good to Have :</b> MLOps</p><br/></p> (ref:hirist.tech)