Senior Data Scientist

Terawe Technologies Pvt. Ltd.

7 - 10 years

9 - 13 Lacs

Bengaluru

Posted:1 month ago| Platform:

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Skills Required

deep learning SQL queries Data analysis data science Neural networks GCP Machine learning Transition data visualization Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

7+ years of Software Development Experience with at least 3+ years of full-time data scientist, machine learning researcher, or machine learning engineerFluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn
Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production settingKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks
Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library)Experience with SQL databases and SQL queriesSelf-starting, with the interest and passion to contribute in a fast-paced start-up like environmentExperience working on or with cloud platforms (AWS, GCP, Azure)optionalSkills[] , "rolesBuild , deploy, monitor, and manage Machine Learning modelsIdentify valuable input features and implement a means for calculating them (feature engineering)Investigate, clean, analyze, and otherwise prepare new data sources for use in higher-order analysis or as input into model features
Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of TeraweTransition models from research to production, working with Data Engineers
Fine-tune model performance in a production setting using adaptive/incremental machine learning techniquesMap customer and/or product requirements to correct modeling, analysis, and/or visualization approaches
Recommend ways to improve data reliability and quality and implement them
Collaborate with Product development team to plan new featuresexperience"

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