Sr. Data Scientist

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 Senior Data Scientist.

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 Senior Data Scientist, you will play a crucial role in leveraging data-driven insights to guide strategic decision-making and drive business growth. You will lead 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.

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.
• Conceptualize, design, build and operationalize industry-leading AI solutions.
• 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
• Troubleshoot and solve issues related to model deployment, scalability, and performance.
• 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.
• Team player with the ability to balance multiple simultaneous projects.
• Mentor and guide junior data scientists and ML engineers.
• Conducting thorough code reviews to ensure code quality and adherence to best practices.
• Participate in the recruiting and onboarding of new team members.
• This job description in no way implies that the duties listed here are the only ones that team members can be required to perform

What You Bring to the Team

• Creative problem-solver who is passionate about digging into complex problems and devising innovative approaches to reach results.
• Effective communication skills and experience distilling and presenting complex quantitative analysis into action-oriented
• Proven experience as a Data Scientist, with a focus on computer vision, NLP, or predictive analytics.
• Solid understanding of Generative AI and deep learning architectures for computer vision and NLP.
• Knowledge of computer vision techniques, such as classification, object detection, and image segmentation.
• Expertise with computer vision libraries and tools, such as OpenCV, scikit-image.
• Strong understanding of NLP methods and techniques, including text preprocessing, word embeddings, and language modeling.
• Proficiency in machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Python, with experience in data manipulation, analysis, and visualization using libraries such as Pandas, NumPy, and Matplotlib.
• Experience with cloud platforms, such as GCP, and deploying models to production environments.
• Familiarity with CI/CD pipelines to automate testing, building, and deploying ML models.
• Proficiency in using version control systems like Git for tracking changes in ML code and models.
• Experience with MLOps tools such as Kubeflow, TFX, or others to streamline the ML lifecycle.
• Bachelor's degree or equivalent experience in data science, Statistics, Computer Science, or a related field.

Physical Demands and Work Environment:

• The physical activities of this position include frequent sitting, telephone communication, working on a computer for extended periods of time. Visual acuity is required to perform activities close to the eyes.
• This position is fully remote with only occasional travel to the office for team meetings and events. Team members are expected to have an established workspace.
• Ability to work remotely in the United States or Canada.

E-Verify Statement 

ConstructConnect utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for ConstructConnect is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website. E-Verify® is a registered trademark of the United States Department of Homeland Security. 

Privacy Notice