Data Scientist Lead for AI Innovation

2 days ago


Bengaluru, Karnataka, India myGwork Full time
Job Overview
Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community – strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. With its spirit of innovation at its core, Amazon continues to evolve and push boundaries in various fields.

Salary Range:$140,000 - $200,000 per annum

About the Role:
This Data Scientist position is part of Amazon Seller Services, focusing on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We seek a problem solver with strong analytical skills, solid understanding of statistics & Machine Learning algorithms, and practical experience in collecting, assembling, cleaning, and setting up disparate data from enterprise systems.

Key Responsibilities:
- Identify suitable statistical or ML techniques to answer business questions based on available data.
- Estimate solution feasibility and potential approaches based on available data for given business problems.
- Collaborate with partner teams to facilitate permissions and acquisition of required data.
- Prototype solutions and build models to test feasibility of solution approaches.
- Develop and train statistical models/ML models, drive towards optimal model performance, and improve existing processes with state-of-the-art generative AI models.
- Work with technology teams to integrate models into Amazon's marketplace and fulfillment systems.
- Apply the right level of solution to the right problem across reporting and data visualization, statistical modeling, and supervised learning tools and techniques.

Requirements:
- 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.).
- 5+ years of data scientist experience.
- Experience with statistical models (e.g., multinomial logistic regression).

PREFERRED QUALIFICATIONS:
- Collaborative experience with data engineers and business intelligence engineers.
- Management experience over data pipelines.
- Leadership and mentoring experience on a data science team.

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