Data Scientist
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Key skills for this role
About the Role
Apply machine learning and deep learning techniques to solve business problems, collaborating with teams to develop and deploy AI solutions using Python and frameworks.
Key Skills for This Role
Responsibilities
- Develop and deliver high quality machine learning and deep learning models across analytics use cases
- Acquire data from diverse sources and perform data exploration and preprocessing
- Build, fine tune, and maintain machine learning pipelines and integrate algorithms into the platform
- Collaborate with engineering and DevOps teams to support model deployment and operationalization
- Contribute to applied research and propose data driven solutions to business challenges
Requirements
- Experience applying machine learning and deep learning techniques to real world problems
- Ability to work across the full data science lifecycle from data acquisition to deployment
- Proficiency in data exploration and preprocessing on structured and unstructured datasets
- Experience building and maintaining machine learning pipelines
- Collaboration skills with engineering and DevOps teams
Full Job Posting
Job Overview
- As a Data Scientist, you will apply machine learning and deep learning techniques to solve real world business problems across numeric and text based analytics.
- You will work across the full data science lifecycle from data acquisition and feature engineering to model development and deployment.
Key Responsibilities
- Develop and deliver high quality machine learning and deep learning models across a broad range of analytics use cases.
- Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets.
- Build, fine tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform.
- Collaborate closely with engineering and DevOps teams to support model deployment and operationalization.
- Contribute to applied research activities and propose data driven solutions to business challenges.
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