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Data Scientist


STL Digital


Location

Delhi | India


Job description

Responsibilities: Data Analysis and Modeling: Utilize advanced statistical and machine learning techniques to analyze large datasets. Design, implement, and evaluate predictive models using neural networks and graph theory. Neural Network Development: Develop and implement neural network models for various applications, including but not limited to image recognition, natural language processing, and time-series analysis. Stay abreast of the latest advancements in neural network architectures and contribute to the continuous improvement of our modeling techniques. Graph Theory Applications: Apply graph theory to model and analyze complex relationships within datasets. Develop algorithms and models for network analysis, community detection, and anomaly detection using graph theory. Data Pre-processing: Clean, pre-process, and transform raw data to prepare it for analysis. Work with large-scale datasets and integrate data from multiple sources. Collaboration: Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Communicate findings and insights to both technical and non-technical stakeholders. Model Deployment and Maintenance:

Sensitivity: Public (C4)

Deploy models into production environments and monitor their performance. Implement strategies for model maintenance and continuous improvement. Data Visualization: Create compelling visualizations to communicate insights and findings to both technical and non-technical audiences. Utilize tools such as Tableau, Power BI, or other relevant platforms.


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