lever
Data Scientist (Personalization)
Yassir
Delhi, IND
Full-time
Mid · 3+ years experience
Hybrid
Discovered 3 weeks ago
PythonSQLGoogle Cloud Platform (GCP)
Free
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PythonSQLGoogle Cloud Platform (GCP)
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PythonSQLGoogle Cloud Platform (GCP)
Full Job Posting
- Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Personalization and Recommendation Engines. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.
- The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
- Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.
- We aim for this role to focus on Personalization and Recommendation Engines capabilities.
- Identify and propose ML opportunities related to your scope and beyond
- Support with requirements definition and prioritization of ML projects
- Collaborate with cross-functional Engineering and Product teams
- Champion Data Quality as a critical input component to all ML solutions and Analytics
- Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
- Utilize Statistical and ML techniques, as appropriate, for model training
- Validate and tune ML modelsVisualize analysis / modelling results focusing on meaningful, actionable metrics and insights
- Deploy and test ML applications using our MLOps infrastructure
- Monitor ML models on their technical performance, business impact and underlying data / concept drift
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