Customer Application Data Scientist
NOTE: If you applied to the previous version (prior to September 6) of this job post and did not hear from us, please apply again to this one.
Imagine being able to see into and improve how a neural network processes data. At BlueLightAI, we are building tools that help you see how models make decisions, in order to debug and repair them. Our technology is based on deep mathematical insights from algebraic topology, and helps reveal hidden structure in data to enable deeper understanding. Our goal is to streamline the process of AI model development and improvement with tools that fit the workflow of data scientists and other AI practitioners.
We are seeking a Customer Application Data Scientist (or Data Scientist: Customer Applications) to help center our focus on customer needs and sales as we scale up product deployment.
Responsibilities include:
- Communicate with customers and potential customers to understand their needs and express the value BlueLightAI can provide.
- Collaborate with the Chief Product Officer and CEO to establish and activate the discovery & sales process with data scientists.
- Assist users and prospects to use our software platform to analyze their AI/ML models and data.
- Participate in the product design process to help translate user needs into product features.
- Help target outreach and marketing efforts to communicate our value proposition.
- Write and/ or contribute to articles, blog posts, and product documentation that illustrate ways BlueLightAI products provide value.
Qualifications (we seek candidates that have some or all of these):
- Excellent communication skills and a strong motivation to seek out and engage with potential or existing customers.
- At least 5 years of experience in data science, machine learning, or related roles.
- Demonstrated ability and experience in delivering business value using data and ML.
- Ability to work flexibly and efficiently in a fast-paced startup environment.
- Strong curiosity and aptitude for learning new skills quickly.
- Fluency in English and strong communication skills.
- Master’s degree in Mathematics, Statistics, Computer Science, or other related field, or equivalent practical experience.
- Familiarity with the standard Python data science/machine learning stack (e.g. Pandas, numpy, scikit-learn, Jupyter, PyTorch/TensorFlow)