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Principal Data Scientist
Bangalore / Full-Time
Job Description
As a Principal Data Scientist, you will be responsible for identifying, scoping, and delivering inference-driven features. An ability to take large, scientifically complex projects and break them down into manageable hypothesis and experiments to inform, functional specifications, then deliver features in a successful and timely manner is expected. Maturity, high judgment, negotiation skills, ability to influence are essential to success in this role. We will rely on your experience in successfully delivering projects that significantly, positively, and measurably affect the business. You should have experience in large scale Data Science projects.
What You'll Do
Requirements & Skills
About Mareana
Founded in 2015, Mareana is an AI-powered software company with the mission of accelerating digital transformation in manufacturing, supply chain, and sustainability via our connected intelligence platform.
Mareana's platform uses AI/ML to rapidly connect disparate, siloed data across the entire business process, allowing our customers to shift their time and effort from data preparation to making complex business decisions intuitively, in real time.
Our customers are market leaders in life sciences, chemicals, and general manufacturing who have realized over a billion dollars in business value by leveraging our platform. Our ethos of continuous innovation has been recognized by Gartner, who named us a Cool Vendor in AI. We have also been featured as a thought leader in Silicon Review and Manufacturing Insights magazine.
Job ID: 149087353
Skills:
Version Control, Gcp, Machine Learning, Natural Language Processing, Sql, Python
Skills:
Databricks, Python, model evaluation, ML frameworks, feature engineering
Skills:
Optimization Algorithms, data mining, Machine Learning, Bayesian models, deep neural networks
Skills:
Python, Sql, Debiasing Strategies, Boosting Algorithms, Learning to Rank Algorithms, Multi-objective Ranking
Skills:
Tensorflow, Testing, Opencv, MLops, Pytorch, Python, Version Control, Computer Vision, Azure ML, Hugging Face, Natural Language Understanding, orchestration tools, Semantic Kernel, agentic AI principles, CI CD, Azure OpenAI services, LangChain, deep learning libraries, generative AI, Azure Blob Data Lake
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