Data Scientist II

ConstructConnect • Atlanta, GA

5d • Hybrid

About The Position

This position is hybrid in Atlanta, Georgia and 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.

Requirements

• 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 recommendations.
• Proven experience as a Data Scientist, with a focus on computer vision, NLP, or predictive analytics.
• Solid understanding of deep learning architectures for computer vision and NLP.
• Knowledge of computer vision techniques, such as classification, object detection, and image segmentation.
• Familiarity 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.
• Bachelor's degree or equivalent experience in data science, Statistics, Computer Science, or a related field.

Nice To Haves

• Experience with cloud platforms, such as GCP, and deploying models to production environments is a plus.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees