Senior Data Scientist

3 weeks ago

Ontario, Canada Gradient Ascent AI Full time

We started Gradient Ascent 7+ years ago because of our long held passion for data, ML, AI, and problem solving; combined with our deeply held belief that we can help business survive and thrive in our increasingly AI-powered world. Since then, we have worked on 60+ ML/AI projects and delivered a diverse and impactful solutions to Fortune 500 companies, start-ups, hospitals, governments, mining companies, etc.
All this time, we have exclusively focused on data, ML, and AI projects. You’ll collaborate with a fun, caring, global team who believes in quality engineering, honest and genuine relationships, good design, being nerdy, and taking pride in one’s work. Compared with most data science positions, we provide uniquely diverse opportunities to learn, expand, and deepen data science skills while ensuring the work actually "ships" and makes an impact.

Deeply held passion for problem solving, math, software, and data science.
Be curious (Fall in love with the data/problem) - take ownership of problems
Care and collaborate - be a team player

The ideal candidate should have a minimum 4 years of experience in AI and machine learning, including deep learning, natural language processing (NLP), computer vision, and other relevant areas
Track record of successfully delivering real-world ML projects
Experience managing data science projects from conception to completion, leading projects effectively, prioritizing tasks, and meeting deadlines
Prior experience in a consulting role is a plus as the role involves interacting with customers to understand their needs, offer solutions, and communicate project progress effectively

Strong proficiency in Python programming
Good understanding of software design patterns and principles
SOLID principle, factory pattern, etc
Familiarity with basic Linux commands
Data analysis
Ability to carry out exploratory data analysis ( EDA ) and hypothesis testing
Adept at handling large datasets, cleaning and preprocessing data, and extracting meaningful insights. 
Proficiency with SQL and data visualization tools (e.g., Model building
In-depth knowledge of deep learning architectures, transfer learning , and experience in training and fine-tuning neural networks
In-depth knowledge of machine learning models
Ability to assess model performance, interpret results, and communicate findings to non-technical stakeholders
Model deployment
Develop and implement machine learning and deep learning models based on data analysis and experimentation to achieve project objectives.
Clean, preprocess, and transform data to ensure it's suitable for training and evaluation of AI models.
Continuously monitor model performance, identify potential issues, and update models as needed to ensure they remain effective.
Stay up-to-date with the latest advancements in the AI field, and proactively suggest innovative approaches to solve complex problems.
Work closely with other teams, such as software engineers, product managers, and data engineers, to integrate AI solutions into the overall product or service.
Provide guidance and mentorship to junior data scientists in the team, fostering their professional growth.

Experience that would help you stand out:
DevOps / cloud infrastructure, especially with GCP/Firebase and/or AWS, Azure
Experience with diversity of data science problems
Experience with software development

This is a remote/global position, but with preference for members in Ontario, Canada. We strongly encourage diversity within our team.

We have multiple openings for this position and flexibility in terms of Full-time/Part-time employee/contract position, and are looking for candidates to start immediately.

~ com - and specify your openness to working FT/PT/Employee/Contract/Flex and your location.

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