Data Scientist (Remote)

About the Role

FIT:MATCH is seeking a highly skilled and innovative Data Scientist with 3D and Computer vision experience to join our team. In this role, you will play a key role in designing and optimizing 3D data collection, processing, and analytics. You will be at the forefront of cutting-edge technology, contributing to the development of systems with applications across various industries. All source code is written to formalized, detailed, coding standards.

Key Responsibilities

• Collaborate with cross-functional teams to define project requirements and objectives
• Design and implement 3D technology using Python (and C++) to create software that interfaces with 3D camera systems or computer vision/ ML models.
• Develop and optimize computer vision algorithms for real-time data processing
• Create software components for data acquisition, analysis, and visualization
• Work on 3D point cloud processing, object recognition, and spatial mapping
• Conduct performance testing, debugging, and optimization of the system
• Stay up-to-date with the latest advancements in 3D technology and computer vision

About You

• Bachelor's, Master's, or Ph.D. in Data Science, Computer Science, Electrical Engineering, Robotics, or a related field
• 3-4 years of professional work experience in a similar role
• Proven experience in 3D technology integration
• Strong proficiency in computer vision, including feature detection, tracking, and 3D reconstruction
• Proficient in programming languages such as C++, Python, and relevant libraries (OpenCV, PCL)
• Experience with 3D data processing, point cloud manipulation, and object recognition
• Experience working with CT Scan (DICOM file format) and/or experience working in the medical device space is a plus
• Knowledge of machine learning and deep learning for computer vision tasks is a plus
• Familiarity with hardware design and sensor integration is advantageous
• Strong problem-solving skills and the ability to work independently and in a team
• Excellent communication and collaboration skills.

Nice to Haves:

• C++ working experience
• Startup experience

We Work With:

• Version Control: Git
• Bug Tracking and Project Management: JIRA, Confluence
• Deployment (CI/CD): Jenkins, Travis CI, CircleCI
• Test Management: RTM
• Programming Languages: C++, Python, Swift, Node.js
• API Testing: Postman, Insomnia
• Browser DevTools: Familiarity with browser developer tools for inspecting web elements, network traffic, and debugging
• Database Testing: Basic knowledge of SQL for writing queries to validate data integrity
• Browser and Device Compatibility: Knowledge of different browsers and devices to ensure cross-platform compatibility
• Performance Testing: Tools like JMeter or Gatling for load and performance testing

Cloud Services: AWS Console, Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, DynamoDB

Compensation, Perks & Benefits

• Generous PTO policy + 12 paid US holidays
• Medical, dental, and vision insurance for you and your family
• Paid Parental leave
• 401k

About Us

Fit:match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.

Fit: Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.