Data Scientist - Python

<p><p>About the Role :<br/><br/>Join our high-impact Data Science team as a Data Scientist focused on leveraging massive datasets to build predictive and prescriptive models.<br/><br/>You will be instrumental in deploying Machine Learning (ML) and Generative AI (GenAI) solutions that directly influence product strategy and business operations.<br/><br/>Key Responsibilities : </p><p><br/></p><p>- Model Development : Design, prototype, and implement scalable ML models (e.g., classification, regression, clustering) and advanced statistical analysis.<br/><br/>- Data Preparation : Collect, clean, and preprocess large, complex, and unstructured datasets from various sources for model training.<br/><br/>- AI/GenAI Focus : Apply expertise in areas like Natural Language Processing (NLP), Computer Vision, or utilizing Large Language Models (LLMs) and techniques like RAG (Retrieval-Augmented Generation).<br/><br/>- Experimentation : Conduct A/B testing and statistical experiments to validate models and measure the business impact of deployed solutions.<br/><br/>- Deploymens : Collaborate with ML Engineers and DevOps to deploy models into production environments (MLOps).<br/><br/>- Communication : Present complex findings and recommendations clearly to both technical and non-technical stakeholders.<br/><br/>Essential Technical Skills :<br/><br/>- Programming : Expert in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).<br/><br/>- ML Frameworks : Strong experience with deep learning libraries like TensorFlow or PyTorch.<br/><br/>- Data/SQL : Proficiency in SQL for data extraction and manipulation; experience with big data technologies like Spark/PySpark.<br/><br/>- Cloud : Hands-on experience with cloud data/ML services (AWS Sagemaker, Azure ML, or Google AI Platform).<br/><br/>- Version Control : Familiarity with Git and MLOps tools (MLflow, DVC) for model and data versioning.<br/><br/>- Visualization : Proficient in data visualization tools (Matplotlib, Seaborn, Tableau/PowerBI)</p><br/></p> (ref:hirist.tech)