Data Scientist II

Key Skills

Data Analysis, Data science techniques, Data Visualization, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), NumPy, OpenCV, Pandas, PyTorch, TensorFlow

Job Description

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

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