Data Scientist, Technology
at Sephora
San Francisco, CA 94105, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 28 Nov, 2024 | USD 175300 Annual | 30 Aug, 2024 | 4 year(s) or above | Good communication skills | No | No |
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Description:
Job ID: 254291
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Address: FSC, Remote, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Information Technology
Remote Eligible:Yes
Responsibilities:
YOUR ROLE AT SEPHORA:
As a Data Scientist, you will lead development of ML systems, drive innovation through cutting-edge AI solutions, and collaborate with cross-functional teams to deliver actionable insights. This role presents an exciting opportunity to shape our data-driven strategies and contribute to developing state-of-the-art solutions.
KEY RESPONSIBILITIES OF THIS ROLE:
- Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business challenges.
- Apply expertise in Generative AI to a variety of use cases driving customer and employee experience.
- Develop models contributing to synthetic data generation and data augmentation efforts.
- Utilize your strong understanding of Recommendation Systems to design personalized user experiences, drive engagement, and optimize content delivery.
- Leverage Computer Vision techniques to develop image and video analysis solutions, object detection, image segmentation, and more.
- Collaborate closely with domain experts, software engineers, and stakeholders to understand business requirements and translate them into actionable AI solutions.
- Conduct exploratory data analysis, data preprocessing, and feature engineering to ensure high-quality input for modeling.
- Stay at the forefront of AI research, experimenting with emerging techniques and staying informed about the latest advancements in the field.
- Communicate findings, insights, and technical concepts to both technical and non-technical audiences through clear visualizations and presentations.
- Contribute to developing and maintaining robust machine learning best practices within the organization.
REQUIREMENT SUMMARY
Min:4.0Max:9.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science, Statistics
Proficient
1
San Francisco, CA 94105, USA