Data Science

6 days ago

Gurugram, India Talent Worx Full time

Responsibilities - As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes - Analyze complex data using statistical and machine learning models to derive actionable insights - Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services - Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs - Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions - Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives - Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. - Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding - Ensure model robustness, model generalization, accuracy, testability, and efficiency - Write product or system development code - Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability. - Communicate findings and insights effectively to stakeholders reports and visualizations. Qualifications - A Master's degree in Data Science, Statistics, Computer Science, or a related field. - Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. - Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn. - Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. - Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. - Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. - Superior communication skills, enabling the clear and concise presentation of complex findings. - Extensive experience in Azure Databricks for data processing, model training, and deployment. - Proficiency with Azure Data Lake and Azure SQL Database for data storage and management. - Experience with Azure Machine Learning for model deployment and monitoring. - In-depth understanding of Azure services and tools for data integration and orchestration.

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