
Data Scientist
1 day ago
**JOB SUMMARY**
Data Science Architect / Principal Data Scientist responsible for handing team of Data Scientist & Analyst in end-to-end Data Science Product / Project Development
**KEY ROLES & RESPONSIBILITIES**
Provide oversight and guidance to other data scientists/analysts on projects and ensure quality of deliverables Build methodologies and standards to prepare, extract, and analyze different data variety of data sources Participate in all aspect’s requirements gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data driven solution
Be able to organize, manage, and analyze varied and large data sets, then connect dots and identify solutions and suggestions that can help our team reach its goals
Write and speak about technical concepts to business, technical, and high-level audiences and giving data-driven presentations.
Extensive exposure of data science toolkit (Supervised, unsupervised models, reinforcement, and probabilistic machine learning models) & data visualization techniques Exposure of ML Based Cloud technologies & Solutions
**PREFERRED JOB REQUIREMENTS**
Should have experience of at least 10+ years with Data Science Should have a 7+ years’ experience in R/Python Should have worked on different stages of ML model life cycle stages
Should have developed multiple ML models and have successfully deployed few models in Production.
Should have extensive experience in more than one area of DS (Deep Learning, NLP, Machine Learning, AI). Should have hands-on experience with Visualization Tools.
Should have hand-on experience working on Cloud (AWS/Azure/GCP) Should have hand-on experience working on data bases - structured, semi-structured and unstructured Should have
Basic Knowledge of CI/CD Pipeline
Sound familiarity in Versioning tools (Git, SVN etc.)
**MINIMUM JOB REQUIREMENTS**
Should have experience of at least 8+ years with Data Science
Should have a 5+ years’ experience in R/Python
Hands on experience on Machine Learning or Deep Learning projects or product
Should have extensive experience in at least one area of DS (Deep Learning, NLP, Machine Learning, AI).
Should have hands-on experience with Visualization Tools.
Python, Machine Learning,SQL
Deep Learning/ANN,Regression/Classification,Unsupervised Learning,Cloud
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