Data Scientist

Overview

Summary

We’re a fully female-founded company on a mission to change the way people search and shop online for fashion...forever! We’re going to spark a new era of fashion discovery, igniting confidence in everybody and every body, and to create a world where fashion confidence starts with “Us”.

We are at the beginning of an exciting journey and we’re looking for top talent to join our team. Unlike many start-ups we’re well funded, have a detailed business and financial plan, and are looking for experienced, passionate professionals to join us in creating and scaling a game-changing business.

So if you want a role where you will make a major impact and want to be a part of a team of women building an incredible product and experience for other women, come join us and make the most move of your career!

Experience: 3+ years of experience in data science- Computer vision.

Competencies:

Data: Great understanding and experience in handling image data and common analysis, enhancement and transformation techniques to understand limitations and validity of a dataset

• Experience with working with large volumes of data
• Understanding of data collection and annotation
• Experience with image augmentation and transformations
• Experience with image enhancements

Computer Vision:

• Strong understanding of predictive techniques including neural network and transformer architectures
• Experience with self-supervised learning techniques
• Understanding of model applications and limitations
• Good grasp of underlying concepts and maths behind the ML models
• Preferable: ability/experience in customising existing architectures to adapt to a specific use case/overcome model limitations
• Experience with training and fine-tuning pre-trained models
• Strong understanding and hands-on experience with evaluation techniques in object detection and classification

Programming skills:

Language: Python

Frameworks and libraries:

• Core python libraries like pandas, numpy, opencv, scikit-learn etc.
• Understanding of model applications and limitations
• Pytorch, Keras, Tensorflow, MMdetection (and other common CV libraries)
• Huggingface
• Streamlit (or other alternatives)

Cloud Technologies:

AWS

• Knowledge of appropriate services within AWS (such as Sagemaker, Lambda, EC2, S3, RDS, DynamoDB and etc); Understanding on how they can work together in a single pipeline
• Experience with building pipelines within AWS for data science projects Serving ML endpoints
• Strong understanding of computational resources and their differences
• Understanding of concepts like cost and computational efficiency

Other:

GitHub

Development and deployment:

• Good knowledge of best practices in MLOps
• Production-level experience: hands-on experience working with ML models in production environments
• Experience with following engineering best practices of deploying the models and machine learning pipelines
• Experience in working collaboratively with engineers and understanding and experience in post-deployment techniques
• Knowledge of concepts such as data and model drift
• Knowledge of concepts such as feedback loop

Soft skills:

• Ability to work in collaborative environment on a single project
• Ability to work independently on individual projects
• Interest in keeping up to date with new techniques and technologies in data science space
• Structured approach to documentation and project work
• Familiarity with agile working environments
• Ability to deliver prototypes and demos that can be easily digested by wider non-technical audiences
• Good understanding of experimentation concepts and ability to pivot quickly

Education:

• Must have: bachelor’s degree in relevant fields such as mathematics, data science, computer science or statistics
• Preferable: MSc in relevant fields such as mathematics, data science, computer science or statistics

Work Schedule

As the client is UK-based, you will be required to work in UK daytime:

• Monday to Friday
• 14:00 - 23:00 IST (08:30 am - 17:30 GMT)

Pay & Benefits - What you’ll get in return:

• Annual CTC: 10 to 15 lakhs
• Fully remote role

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Schedule:

• Monday to Friday

Education:

• Bachelor's (Required)

Experience:

• Python and frameworks for Computer Vision tasks: 3 years (Required)
• AWS cloud services: 3 years (Required)
• ML models into production environments: 3 years (Required)

Language:

• English (Required)

Work Location: Remote