Data Scientist

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Data Scientist - AI Innovator

\\[br]\\We are seeking a highly skilled and results-driven Data Scientist to join our team. As an AI innovator, you will be responsible for developing and deploying advanced machine learning models to solve business problems, drive data-based decision-making, and support AI-driven product development.\\[br]\\Key Responsibilities:\

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• Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems.\
• Clean, transform, and analyze structured and unstructured data; identify significant features.\
• Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks.\
• Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions.\
• Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports.\
• Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications.\
• Collaborate with cross-functional teams to ensure successful project delivery and meet business objectives.\
• Contribute to the development of data-driven strategies and recommendations to drive business growth.\
• Identify areas for process improvement and implement changes to increase efficiency and effectiveness.\
• Presentation of projects to stakeholders and internal audiences.\
• Development of technology roadmaps for AI and machine learning.\
• Maintenance of high-quality standards in all work.\
• Benchmarking of external best practices in the field.\
• Knowledge sharing through training sessions, workshops, and documentation.\
• Foster a culture of innovation, experimentation, and continuous learning within the organization.\
• Analyzing current processes and recommending improvements to achieve greater efficiency and productivity.\
• Leveraging expertise to improve data quality, integrity, and availability.\
• Ensuring data security, compliance, and governance.\
• Implementing technologies that enhance data discovery, usage, and insight.\
• Providing expert guidance on AI and ML adoption, implementation, and optimization.\
• Performing data analysis and providing actionable insights to inform business decisions.\
• Leading initiatives to leverage AI and ML capabilities across the organization.\
• Developing and maintaining relationships with key stakeholders to ensure alignment and success.\
• Building and maintaining a network of professionals in the industry.\
• Developing and delivering comprehensive AI and ML training programs.\
• Managing multiple projects simultaneously while prioritizing tasks effectively.\
• Presenting findings, insights, and recommendations to senior leadership and other stakeholders.\
• Identifying opportunities for automation and streamlining business processes.\
• Improving operational efficiency by leveraging AI and ML technologies.\
• Delivering complex projects on time, within budget, and to the required quality standard.\
• Leading cross-functional teams to deliver strategic initiatives.\
• Mentoring junior team members to promote knowledge sharing and skill development.\
• Evaluating new technologies and proposing their adoption where beneficial.\
• Organizing workshops, training sessions, and conferences to share knowledge and experiences.\
• Communicating complex technical information to non-technical stakeholders.\\[/ul]\\Key Requirements:\
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  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.\
  • 4-6 years of hands-on experience in: Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM).\
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools.\
  • Familiarity with large-scale data processing (e.g., Spark, Dask).\
  • Strong analytical and communication skills.\
  • Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail).\\[/ul]\\What We Offer:\
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    • A dynamic and collaborative work environment.\
    • Opportunities to work on cutting-edge AI/ML projects.\
    • Flexible work arrangements.\
    • Competitive compensation and performance bonuses.\
    • Continuous learning support through training and certifications.\\[/ul]\\Preferred candidate profile:\

We are seeking a highly skilled and results-driven Data Scientist to join our team. You will be responsible for developing and deploying advanced machine learning models to solve business problems, drive data-based decision-making, and support AI-driven product development.\\[br]\\Why us:\

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• A strong commitment to innovation and collaboration.\
• A dynamic and supportive work environment.\
• Ongoing opportunities for professional growth and development.\\[/ul]\\\

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