Data Scientist

Data Scientist

Company Overview

Nextiles is a venture-backed materials science company focused on creating next-generation fabric-based technologies to better understand human movement. By merging flexible electronics with patented sewing technology, Nextiles delivers seamless and comfortable experiences to better quantify human performance.
Our core value proposition is the ability to produce biomechanical and biometric data from form-fitted and tailored products which leverage our expertise in materials science. Nextiles currently works with partners in elite sports, ranging from training facilities for athletes to professional leagues such as the NBA. Nextiles is backed by the National Science Foundation and the military. Nextiles is building a cohesive hardware / software ecosystem leveraging machine learning to transform Nextiles’ sensor data into actionable insights for clients’ use to better understand training and optimize athletic performance.

Job Description

As a Data Scientist, you will be required to understand fundamental mathematical, biomechanical, and signal processing disciplines. Examples include comprehensive knowledge on Newtonian mechanics, geometry, statistics, and data filtering techniques. These skills will be used to develop data extraction and analytical pipelines to parse Nextiles datasets that come from arm sleeve, knee, sock, vest, and force plate products. An expected goal from the Data Scientist is to present findings as reports, interactive visualizations, and metrics that can be delivered through API request.

The Data Scientist should also have extensive background in backend technologies and machine learning. Tasks will involve building APIs, optimizing data structures to deliver API requested data, managing and organizing customer datasets, as well as building servers and endpoints on AWS resources (EC2, Sagemaker, S3, Lambdas, etc.). Proficiency in these technologies will allow the Data Scientist to perform real-time and cloud-centric machine learning pipelines.

The job will emphasize experimentation, validation, and generation of insights and quantifiable metrics on movement and athletic performance. The Data Scientist will work closely with the CEO and Head of Software as well as the software team consisting of mobile and backend engineers. The Data Scientist will also be highly involved in business activities such as speaking with customers, clients, and delivering reports during meetings.

Required Skills

Software and Development Tools

• Required expertise in python and its scientific environment such as numpy, scipy, matplotlib, scikit-learn, tensor-flow, etc.

• Extensive experience in development tools such as git, version control, and documentation.
• Required expertise in data visualization tools. Mandatory proficiency in matplotlib, and experience in other tools such as seaborn, plotly, and others.
• Experience in handling, parsing, and interpreting Newtonian data (e.g. pressure, angles, velocities), and IMU data (e.g. accelerometers.).

Cloud Computing

• Experience with AWS resources such as S3, API Gateway, CloudWatch, and Lambda functions.
• Expertise in building routes and methods in REST APIs (e.g. GET, POST, PUT, DELETE).
• Expertise in data structure and data delivery in CSV and JSON objects.
• Expertise in noSQL database structures to sort, filter, parsee, and extract datasets.

Machine Learning

• Extensive experience in building scientifically driven statistical experiments with tunable variables and quantitative objectives.
• Expertise in feature engineering, fusion algorithms, dimensional analysis and reduction, and structural data for machine training.
• Expertise in unsupervised, supervised and reinforcement learning models
• Familiarity with deploying models on cloud-based resources (e.g. SageMaker).

Compensation, Benefits, & Other Details

• Salary: Starting $125K.
• Equity: Negotiable.
• Benefits: Attractive plans for Healthcare, Dental, and Vision are available for all employees.
• Location: This position will be based in Nextiles’ Brooklyn headquarters location. Work from home may be accommodated for parts of the week.
• References will be requested prior to an offer being provided.
• All candidates will perform a technical interview in the 2nd round.

Company References

Office Location

19 Morris Ave. Bldg. 128
Brooklyn NY, 11205

Company Materials

• www.nextiles.tech
• Company Whitepaper: https://bit.ly/3LJxPQH
• Company LinkedIn: https://bit.ly/3NDyxAx

Job Type: Full-time

Pay: $125,000.00 per year

Benefits:

• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Professional development assistance
• Vision insurance

Schedule:

• 8 hour shift

Ability to commute/relocate:

• Brooklyn, NY 11205: Reliably commute or planning to relocate before starting work (Preferred)

Experience:

• Python: 4 years (Preferred)
• Machine learning: 4 years (Preferred)

Work Location: One location