Data Scientist

4 days ago

Vancouver, Canada DarkVision Full time

**Your Job**
Part of Koch Engineered Solutions, DarkVision's ultrasound system gathers immense datasets, potentially hundreds of gigabytes long, while detecting for defects as small as a few millimeters. Automated processing, measurement, classification, and visualization algorithms are crucial due to the time-consuming and inconsistent nature of manual processing.

As a Data Scientist, you will be an essential part of the Machine Learning team and Innovation team. You will be responsible for the development and management of end-to-end image processing pipelines that integrate with deep learning architectures to produce client facing reports.

This position is on-site, with flexible work hours.

**Our Team**

With the largest ultrasound datasets globally, DarkVision's Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures.

**What You Will Do**
- **Data Pipeline Architecture**: Design and build robust data pipelines, ensuring scalability, reliability, and efficiency.
- **Production-Grade Code**: Develop high-quality, production-level Python code for data processing, analysis, and modeling.
- **Version Control**: Utilize GitHub for version control and collaboration on code repositories.
- **Information Visualization**: Create compelling reports and 3D visualizations tailored for client-facing presentations to VPs and C-suite executives.
- **Database Familiarity**: Work with a variety of databases and object stores for data storage, manipulation, and retrieval.
- **Cloud Computing**: Implement cloud computing solutions with a focus on supporting and optimizing data pipelines.

**Opportunities to Learn and Work On**:

- State-of-the-art deep learning technologies and pipelines.
- Work in an interdisciplinary team.

**Who You Are (Basic Qualifications)**
- Bachelor's degree in computer science, statistics, mathematics, or another STEM field.
- Industry experience as a data scientist.
- Professional experience in SQL and Python programming writing production-grade code.
- Understanding of software engineering principles and experience developing production-grade code for data analysis, ETL, or Machine Learning pipelines.
- Knowledge of data analysis, data pipelining, and data visualization tools and techniques.
- Experience with cloud data ecosystems, ideally AWS.

**What Will Put You Ahead**
- Intermediate to senior level industry experience.
- Master's degree or PhD.
- Experience developing data pipelines using orchestration tools such as prefect, airflow, dagster, Kubeflow, etc.
- Experience with 3D data visualization tools and techniques.
- Experience developing conventional or machine learning Computer Vision algorithms.
- Experience implementing unit tests and contributing to continuous integration and continuous deployment (CI/CD) pipelines.
- Excellent communication and collaboration skills.

**General Salary Range**

For this role, we anticipate paying $100,000 - $160,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

**Who We Are**

DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world's most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.

Backed by Koch Industries, one of the world's largest privately held companies, DarkVision's team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company's current and upcoming products.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

**How to Apply**

If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.

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