Data Scientist, Technology

at  Sephora

San Francisco, CA 94105, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate28 Nov, 2024USD 175300 Annual30 Aug, 20244 year(s) or aboveGood communication skillsNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

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