What are the responsibilities and job description for the Data Scientist II position at ConstructConnect?
Overview
This position sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment.
ConstructConnect is looking for a full-time Data Scientist II.
The construction industry is ready for innovation. Metrics show an increase in buildings but a downturn in available labor. ConstructConnect is ready to fill this gap through a variety of artificial intelligence and machine learning approaches. Our opportunity to achieve this goal is vast and varied. We are leveraging natural language processing, object detection, image segmentation, and classifiers to name a few.
The ideal candidate for this role will have a deep interest in building models, developing training data, and researching the best algorithm to apply to a given situation. They will bring an energy for innovation and a desire to learn new techniques and tools. Come help us build the future of the pre-bid construction industry!
The Opportunity
As a Data Scientist II, you will play a crucial role in leveraging data-driven insights to guide strategic decision-making and drive business growth. You will engage in developing Machine Learning and AI solutions to complicated problems on the leading edge of construction planning technology. You will have the opportunity to design, develop and implement best-in-class solutions for our organization and our clients.
Responsibilities
What You'll Be Doing
- Collaborate with cross-functional teams to define requirements, curate high-quality training datasets, and develop machine learning solutions for business challenges.
- Drive innovation by researching and experimenting with cutting-edge algorithms, architectures, and techniques.
- Optimize and fine-tune deep learning models to improve its performance, accuracy, and efficiency.
- Conduct thorough evaluations and assessments of models, providing recommendations for enhancements and optimizations.
- Contribute to the development of internal frameworks, and libraries to streamline ML workflows.
- Communicate research findings, insights, and recommendations effectively to both technical and non-technical stakeholders.
- Stay informed about industry trends, best practices, and emerging technologies in AI.
- Mentor and provide guidance to the team, sharing best practices.
- This job description in no way implies that the duties listed here are the only ones that team members can be required to perform
Qualifications
What You Bring to the Team
Physical Demands and Work Environment :
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