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Data Scientist

32 minutes ago

Vancouver, British Columbia, Canada DarkVision Full time

Your Job
DarkVision is seeking a Data Scientist to join our Imaging & AI team. You will ensure the statistical validity and business impact of our models by owning experimental design, causal analysis, and data integrity audits. You will be the bridge between our expert data analysis, machine learning models, and the actionable insights delivered to our clients.

DarkVision's ultrasound imaging system collects huge datasets on the order of terabytes, detecting sub-millimetric defects in industrial assets that span hundreds of kilometers. Interpreting this data requires more than just black-box models; it requires rigorous statistical verification. You will focus on the development of analysis pipelines that validate our model performance and the creation of advanced visualizations that communicate complex results to stakeholders.

This role is on-site at our North Vancouver, BC HQ, where employees enjoy a wide array of amenities including a fully equipped gym, squash court, steam room, climbing wall, and more

Our Team
Working in the Imaging & AI team, you will join a multidisciplinary group of scientists and engineers. This team is responsible for early-stage ideation, research, experimentation, and development. You will collaborate closely with Machine Learning Scientists and Engineers to design experiments that prove the reliability of our technology.

What You Will Do

  • Experimental Design & Validation: Design and execute rigorous experiments to validate the performance of deep learning models. You will apply statistical methods to ensure our results are significant, reliable, and reproducible.
  • Data Integrity & Analysis: Conduct deep-dive analyses and causal audits on our datasets. You will identify biases, anomalies, or quality issues in the data that could impact model training or production inference.
  • Information Visualization: Create compelling 3D visualizations and automated reports that translate complex acoustic data into clear, client-facing insights for VPs and C-suite executives.
  • Analysis Pipelines: Develop production-grade Python code to automate data processing and analysis workflows. You will ensure that statistical checks are integrated directly into our pipelines.

Who You Are (Basic Qualifications)

  • Bachelor's or Master's degree in Statistics, Mathematics, or a related field.
  • 3+ years of industry experience as a Data Scientist or in a related role.
  • Proficiency in Python and SQL for data manipulation and analysis.
  • Background in statistical modeling, hypothesis testing, and data analytics.
  • Experience with data visualization tools and techniques.

What Will Put You Ahead

  • Knowledge of Bayesian inference, time-series analysis, causal inference, and multivariate statistics.
  • Experience designing A/B tests or clinical-trial-style validation studies for algorithmic products.
  • Track record of peer-reviewed publications in fields related to applied statistics, econometrics, or related fields.
  • Advanced academic research experience (MSc, PhD) in Statistics, Mathematics, Economics, Physics or other related fields.
  • Experience analyzing high-dimensional, unstructured data (images, signals, or acoustic waveforms) rather than just tabular data.
  • Proficiency in building custom, interactive dashboards or 3D data representations.
  • Strong communication skills to present complex statistical findings to senior non-technical audiences.

General Salary Range
For this role, we anticipate paying $100,000 to $150,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

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 Inc., 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.

We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.

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.

We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the webpage.

Successful candidates will be required to complete a criminal background check.

Keywords: Data Scientist, Statistics, Experimental Design, Bayesian Inference, Causal Analysis, Python, SQL, Signal Processing, Visualization.