Senior Software Engineer - Data Science

Doxel AI is hiring a Senior Software to join the Engineering team to build out forecasting engines delivering insights to construction industry users. This role will accelerate our mission to ensure every decision on a construction site is a great one.

Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget. Without this observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover.

Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday.

We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, a complex data pipeline powering it all in the background. We’re building out new workflows, analytics dashboards, and forecasting engines. Join us in bringing AI to construction!

We're at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction!

The Role

Doxel’s data and domain experts go to great lengths to build insights into the product. We have highly motivated individuals who don’t see barriers to getting the job done. However, they have to go through great lengths, from reaching into the nooks and crannies of object storage to even pulling knowledge out of subject matter experts.

It shouldn’t be like that.

Your role is to empower Data Science at Doxel through removing ambiguity and implementing best practices to enable intuitive data retrieval and modeling.

What You'll Do

• Work with stakeholders to gather a deep understanding of business problems.
• Permeate domain understanding to relevant audiences in the most effective way.
• Work with data owners to improve and consolidate data models, mappings, and ontologies.
• Create systems to democratize data through productionizing data pipelines with best practices correcting for anomalies and inconsistencies.
• Perform statistical analysis and create direction for our product and executive reports.
• Deploy models to production and work with the product engineering team to integrate it into the product.

What You'll Bring to the Team

• Proven track record of excellent judgment and creative problem solving skills delivering data science solutions.
• Excellent communicator with amazing storytelling ability to passionately create vision and drive solutions.
• Proficiency in SQL, Python, pandas, scikit-learn, and data visualization toolkits.
• 5+ years of experience in software engineering building out data-driven SaaS products.
• 2+ years of experience as a Data Scientist.
• Master’s in statistics, data science, or science related field.
• Deep knowledge of statistics, predictive modeling, machine learning, data mining, graph theory, and feature engineering.
• Experience in using cloud services and platforms, such as GCP, Azure, AWS, etc.

The base salary for this position is $170,000 - $210,000, plus equity and benefits. Pay is based on factors such as location, skill level, qualifications, competencies, and overall experience.

Doxel provides comprehensive health/dental/vision benefits for employees and their families including an Unlimited PTO policy, a 401(k) program, and a flexible work environment among other benefits. Doxel is an equal opportunity employer and actively seeks diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.