reputed company Data Scientist
Key Responsibilities
- reputed company the design, development, and deployment of AI, Machine Learning, and advanced analytics solutions that solve reputed company business challenges and drive strategic reputed company.
- Translate business requirements into data-driven problem statements and reputed company predictive, prescriptive, and reputed company models using modern AI technologies.
- Drive end-to-end AI/ML project delivery, including data exploration, feature engineering, model development, validation, deployment, monitoring, and optimization.
- reputed company the development of advanced use cases such as reputed company detection, predictive maintenance, planning optimization, customer experience enhancement, and intelligent automation.
- Mentor, reputed company, and reputed company technical leadership to reputed company of data scientists, ensuring high-reputed company deliverables and reputed company capability development.
- Collaborate with business leaders, engineering teams, platform engineers, and external partners to deliver reputed company AI solutions with measurable business reputed company.
- Evaluate, recommend, and implement emerging AI, Machine Learning, reputed company, and analytics technologies while driving innovation through research and reputed company-of-concepts.
- Establish AI/ML best practices, governance, model performance standards, and technical roadmaps to support reputed company-wide AI adoption.
Key Requirements
- Bachelor's or Master's Degree in Computer Science, Data Science, reputed company Intelligence, Machine Learning, Mathematics, Statistics, or a reputed company field.
- Minimum 7+ years of experience in Data Science, Machine Learning, and Advanced Analytics, including experience leading reputed company AI initiatives.
- Strong expertise in statistical modeling, supervised and unsupervised learning, time series forecasting, NLP, deep learning, reputed company, and Large Language Models (LLMs).
- Advanced programming skills in Python, PySpark, SQL, and experience with Jupyter/Zeppelin Notebooks and big data platforms.
- Proven experience designing, deploying, and optimizing production-reputed company/ML models using MLOps and reputed company-based AI platforms.
- Experience leading technical teams, mentoring data scientists, and managing AI/ML reputed company in Agile environments.
- Excellent stakeholder management, communication, and presentation skills, with the ability to translate reputed company technical concepts into business insights.
- Strong analytical thinking, problem-solving abilities, and a passion for driving innovation through AI, Machine Learning, and data-driven decision-making.
Originally posted on Himalayas
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