Senior Data Scientist/Computer Vision/PyTorch/Tensorflow/Azure
Manhattan, New York
Hybrid
Full Time
$170k - $210k
Job Description:
Our client is dedicated to pushing the boundaries of what's possible in the retail and consumer goods sectors. As a company, they harness the power of data and technology to provide actionable insights into consumer behavior. Their goal is to leverage cutting-edge techniques in data science to understand and predict consumer actions, enabling our clients to optimize their strategies and drive growth.
They are seeking an experienced Senior Data Scientist specializing in computer vision to join their dynamic team. The ideal candidate will have a robust background in data science with a focus on computer vision applications outside of the medical imaging domain. You will be instrumental in developing and deploying computer vision models that enhance our understanding of consumer interactions with products in various retail environments.
The role is hybrid in the Manhattan area, with an expected 2-3 days a week on-site.
Responsibilities:
- Develop and implement computer vision models to analyze consumer behavior and interactions with products.
- Lead projects from conception to deployment, ensuring the delivery of high-quality, scalable solutions.
- Collaborate with cross-functional teams, including product management and engineering, to integrate computer vision capabilities into our platforms.
- Analyze large datasets to extract meaningful insights and present findings to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest advancements in computer vision and machine learning to continuously improve our methodologies and tools.
- Mentor junior data scientists and contribute to the development of best practices within the team.
Required Skills/Qualifications:
- Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, or a related field.
- 5+ years of experience in data science with a strong focus on computer vision.
- Proven experience in developing and deploying computer vision models using deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong programming skills in Python, with experience in libraries like OpenCV and Scikit-learn.
- Experience working with large-scale datasets and cloud computing platforms (preferrably Azure).
- Prior experience in retail or consumer goods sectors.
- Familiarity with reinforcement learning and its applications in computer vision.
Benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Professional development opportunities and ongoing training.
- Generous PTO and holiday leave
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**
#LI-LT2
Our client is dedicated to pushing the boundaries of what's possible in the retail and consumer goods sectors. As a company, they harness the power of data and technology to provide actionable insights into consumer behavior. Their goal is to leverage cutting-edge techniques in data science to understand and predict consumer actions, enabling our clients to optimize their strategies and drive growth.
They are seeking an experienced Senior Data Scientist specializing in computer vision to join their dynamic team. The ideal candidate will have a robust background in data science with a focus on computer vision applications outside of the medical imaging domain. You will be instrumental in developing and deploying computer vision models that enhance our understanding of consumer interactions with products in various retail environments.
The role is hybrid in the Manhattan area, with an expected 2-3 days a week on-site.
Responsibilities:
- Develop and implement computer vision models to analyze consumer behavior and interactions with products.
- Lead projects from conception to deployment, ensuring the delivery of high-quality, scalable solutions.
- Collaborate with cross-functional teams, including product management and engineering, to integrate computer vision capabilities into our platforms.
- Analyze large datasets to extract meaningful insights and present findings to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest advancements in computer vision and machine learning to continuously improve our methodologies and tools.
- Mentor junior data scientists and contribute to the development of best practices within the team.
Required Skills/Qualifications:
- Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, or a related field.
- 5+ years of experience in data science with a strong focus on computer vision.
- Proven experience in developing and deploying computer vision models using deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong programming skills in Python, with experience in libraries like OpenCV and Scikit-learn.
- Experience working with large-scale datasets and cloud computing platforms (preferrably Azure).
- Prior experience in retail or consumer goods sectors.
- Familiarity with reinforcement learning and its applications in computer vision.
Benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Professional development opportunities and ongoing training.
- Generous PTO and holiday leave
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**
#LI-LT2