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. That's all we do. Our rapidly growing team loves to work in a fast-paced environment where we work quickly and creatively to build solutions for a variety of exciting and challenging problems for our clients.


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. You’ll be given a lot of opportunities to learn, teach, and progress in your career.


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.


We’re a start-up: we’re moving fast, learning constantly, and working hard.


We’re humble, hungry, and smart. We hope you are too.


To be successful in this position, you need to:

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


Experience


  • 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


Skills and requirements

Programming

  • Strong proficiency in Python programming
  • Good understanding of software design patterns and principles
  • SOLID principle, factory pattern, etc
  • Working knowledge of Git
  • 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., Matplotlib, Seaborn) is important.

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
  • Proficient with ML libraries like TensorFlow, PyTorch, and scikit-learn, among others
  • Ability to assess model performance, interpret results, and communicate findings to non-technical stakeholders
  • Creativity

Model deployment

  • Good understanding of API design
  • Ability to navigate and deploy on various cloud platforms (AWS, GCP, Azure, etc)
  • Ability to design and build production model feedback loops
  • Ability to troubleshoot model issues in production environment

Communication skills

  • Communicate effectively with the internal team and clients at the right time


Responsibilities

  • Collaborate with clients and the internal team to understand business requirements and design AI solutions that align with their needs.
  • 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.
  • Implement AI models in production systems, considering factors like scalability, reliability, and maintainability.
  • 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
  • Distributing workloads to compute clusters
  • Experience with diversity of data science problems
  • Experience with software development


Our team is distributed with members in Canada & the US. 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.


  • To apply: Email us at datascience@gradient-ascent.com - and specify your openness to working FT/PT/Employee/Contract/Flex and your location. Attach a resume and please share with us some work you’ve done. We particularly appreciate when you can tell us why you want to work with us specifically. We expect to hire someone as soon as possible.

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