Senior Data Scientist

Clinicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements, often aggravated by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the "great resignation of healthcare".

Tali AI, one of the fastest growing AI companies in Canada, is dedicated to tackling the issue of physician burnout through the development of the leading AI Scribe for accurate clinical notes and documentation, designed specifically for Clinicians. By combining AI Scribe, which effortlessly captures and summarizes patient visits, Medical Dictation for accurate voice-to-text processing, and Medical Search for efficient information retrieval, we are helping thousands of clinicians reduce documentation time by over 30%, allowing them to focus more on patient care.

We're looking for a Senior Data Scientist to play a critical role in data-driven decision-making as we continue to transform the healthcare system. You will work closely with cross-functional teams to develop advanced models and algorithms that solve complex problems in healthcare. If you’d like to help us continue to evolve Tali - Canada’s leading medical AI scribe, this is an opportunity to make a meaningful impact on healthcare by saving Clinicians time and reducing the administrative burden. Letting Clinicians focus on their patients, not paperwork.

Who You Are:

• You have at least 8 years of industrial experience in NLP and/or Speech Recognition.
• You have developed, trained and deployed user-facing ML models in production.
• You have a strong background experience in data science, statistical modelling, machine learning, and data analysis.
• You're proficient in programming languages such as Python.
• You have experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy.
• You have a strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• BONUS: You're familiar with cloud platforms (e.g., Vertex, SageMaker).

What You’ll Do:

• Develop, test, and implement advanced statistical models, machine learning algorithms, and predictive analytics to solve business problems.
• Work closely with Product Managers, Engineers, and other stakeholders to understand business needs and translate them into problems that need solving.
• Lead and mentor Data Scientists and Data Analysts, providing technical guidance, support, and mentorship.
• Design and implement scalable solutions for deploying models in production environments.
• Stay up-to-date with the latest data science techniques and technologies, and apply them to improve existing processes and solutions.

Recruitment Process

Here’s what to expect from the recruitment process:

• Selected candidates will be contacted for an initial 30-minute interview
• Team Interview (45 min)
• Take Home Assessment
• Hiring Manager Interview (45 min)
• Decision Stage

Working at Tali:

Our core values:

• Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day.
• Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously.
• Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge.

Perks and Benefits:

• Comprehensive health and wellness benefits package from day one
• Competitive vacation and company-wide holiday between Dec 25 - Jan 1
• Half day Fridays (35-hour work week)
• Learning & development support
• Quarterly socials & company outings
• Fully remote work

We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at people@tali.ai.