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Lead Data Scientist

9 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are seeking a Lead Data Scientist to join our dynamic team. In this role, you will contribute to the development and implementation of AI solutions for a variety of applications, including statistical analysis and natural language processing. If you are excited about using data to drive meaningful outcomes, we welcome your application. Responsibilities Develop AI solutions such as classification, clustering, and anomaly detection Apply statistical data analysis and machine learning techniques Manage all project stages, from data preparation to model evaluation Utilize Python and SQL for data analysis and manipulation Leverage ML Ops tools and manage model development workflows Build models that are designed for business use Collaborate with teams using software development practices and version control tools Maintain project documentation and tracking systems like Jira Evaluate emerging technologies and apply problem-solving strategies Deliver solutions ready for production and enable cross-team knowledge sharing Requirements 9+ years of experience in software engineering with a focus on Data Science Minimum of 1 year of leadership experience Expertise in statistical data analysis, machine learning, and NLP, with practical knowledge of limitations Background in creating and deploying AI solutions for classification, clustering, anomaly detection, and NLP Competence in overseeing project delivery from data preparation to model evaluation and visualization Proficiency in Python programming and SQL with experience in production-level libraries Familiarity with ML Ops, feature engineering, and model development workflows Capability to manipulate data and deliver models optimized for business usage, including experience with Azure AI Search Background in software development practices, version control systems such as GitLab, and project management tools like Jira Understanding of innovative technologies and ability to deliver production-ready models through creative problem resolution Fluency in using the UNIX command line Knowledge of Agile development practices Strong English communication skills, with B2+ proficiency level Nice to have Understanding of Cloud Computing concepts Knowledge of Big Data tools Familiarity with data visualization platforms Capability to use containerization tools

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