Senior Data Scientist

Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded 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,” with doctors leaving their positions due to overwhelming stress and exhaustion.
Tali AI is dedicated to tackling the issue of physician burnout through the development of a voice-enabled virtual assistant designed specifically for physicians. Our voice enabled AI innovative assistant streamlines their professional lives by significantly minimizing the time spent on documentation and administrative tasks. We are the leader in Canada and we are currently expanding to the US market.
Tali AI is looking for a Senior Data Scientist to play a critical role in data-driven decision-making. You will work closely with cross-functional teams to develop advanced models and algorithms that solve complex problems in healthcare. Your insights will directly impact the healthcare landscape, clinician burnout, healthcare availability to the public, and company strategy and operations.
Who You Are:
More than 8 years of industrial experience in NLP and/or Speech Recognition
Developed, trained and deployed user-facing ML models in production
Strong demonstrated experience in data science, with a strong background in statistical modeling, machine learning, and data analysis.
Proficiency in programming languages such as Python
Experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy.
Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (e.g., Vertex, SageMaker) is a plus.
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 data science projects.
Lead and mentor data scientists and data analysts, providing technical guidance and support on projects.
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
Hiring Manager Interview (45 min)
Team Interview (45 min)
Interview with a Co-Founder/Executive Leader (30 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.