Data Scientist
2 weeks ago
Description :Job Overview :We are seeking an experienced Data Scientist with 4 to 8 years of hands-on expertise in advanced analytics, machine learning, and data-driven problem-solving.The ideal candidate will possess strong programming skills in Python, experience with RDBMS/SQL, and knowledge of data visualization tools such as Power BI.A broad theoretical understanding of AI concepts, exposure to GenAI, and familiarity with cloud-based AI platforms are highly desirable.This role involves working closely with cross-functional teams to develop data models, build scalable AI solutions, and deliver actionable insights that help shape strategic decisions.Key Responsibilities :- Develop, implement, and optimize machine learning models, predictive analytics solutions, and statistical algorithms for business use cases.- Perform end-to-end data science workflows including data collection, cleansing, feature engineering, model selection, training, validation, and deployment.- Utilize Python and its relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, etc.) to build and operationalize data science solutions.- Work extensively with RDBMS and write optimized SQL queries for data extraction and manipulation; leverage NoSQL databases where required.- Build interactive dashboards and analytical reports using Power BI to present insights to business and technical stakeholders.- Apply broad theoretical knowledge of AI/ML concepts, including the latest trends in Generative AI (GenAI), to design innovative solutions.- Work with cloud-based AI platforms (AWS, Azure, GCP, etc.) to develop, deploy, and manage AI/ML pipelines and data workflows.- Translate business problems into analytical frameworks and develop interpretable, data-driven recommendations.- Collaborate with product, engineering, and domain experts to define requirements and deliver high-impact AI initiatives.- Conduct performance monitoring, model retraining, and continuous improvement of deployed models.- Ensure compliance with data privacy, security standards, and best practices in AI governance.Required Technical Skills:- Strong proficiency in Python and commonly used data science libraries.- Experience working with RDBMS and advanced SQL; knowledge of NoSQL is a plus.- Proficiency in building dashboards using MS Power BI (preferred).- Broad AI and machine learning theoretical knowledge; exposure to GenAI models and frameworks is advantageous.- Familiarity with cloud-based AI/ML platforms (AWS Sagemaker, Azure ML, Google Vertex AI, etc.- Solid understanding of data modeling, data structures, and ETL Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.- 48 years of professional experience in Data Science, Machine Learning, or Advanced Analytics.- Strong analytical, communication, and problem-solving skills.- Ability to work in a fast-paced environment and collaborate with cross-functional teams (ref:hirist.tech)
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