Senior Data Scientist

Tali AI; Toronto; Remote; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join their innovative team focused on transforming healthcare through AI. In this role, you will develop advanced models and algorithms to address complex challenges, enhancing the efficiency of clinicians' workflows. You will collaborate with diverse teams, leveraging your expertise in machine learning and data analysis to drive impactful solutions. This is a unique opportunity to contribute to a company that is dedicated to improving patient care and reducing administrative burdens. If you are passionate about making a difference in healthcare, this position offers the chance to create meaningful change.

Benefits

Fully remote work & flexible work hours

Half day Fridays (35-hour work week)

Comprehensive health and wellness benefits

Competitive time-off including holidays

$2000 in annual 'Knowledge Dollars' for professional development

Quarterly socials & company outings

Qualifications

• 5+ years of experience in NLP and Speech Recognition.
• Proficient in Python and experienced with SQL, Pandas, and NumPy.
• Strong background in machine learning and statistical modelling.

Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms.
• Collaborate with cross-functional teams to address business needs.
• Lead and mentor junior data scientists and analysts.

Skills

Natural Language Processing (NLP)

Speech Recognition

Machine Learning

Data Analysis

Statistical Modelling

Python

Education

Bachelor's Degree in Data Science or related field

Tools

SQL

Pandas

NumPy

TensorFlow

PyTorch

Scikit-learn

Cloud Platforms (e.g., Vertex, SageMaker)

Job description

At Tali, we’re tackling one of healthcare’s most pressing challenges: the administrative burden that overwhelms clinicians and compromises patient care. Our AI-powered medical scribe is already transforming the industry, serving thousands of clinicians across Canada and the US. By accelerating millions of patient encounters annually, we save each clinician over 10 hours a week—adding up to 27 years of clinicians’ time returned to the healthcare system every year.

Backed by a team with decades of experience from world-class companies like Amazon, Stripe, and Shopify, we’re building a product that solves critical, real-world problems for clinicians today while laying the foundation for a more efficient and patient-centered healthcare system. Our customers trust our technology to deliver accurate, secure documentation, empowering them to focus on what matters most: exceptional 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 5 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 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
• Programming Exercise (45 min)
• Hiring Manager Interview (45-min)
• Design Interview with Senior Team Member (45-min)
• Decision Stage

More About Tali AI

Perks and Benefits:

All full-time employees have access to:

• Fully remote work & flexible work hours
• Half day Fridays (35-hour work week)
• Comprehensive health and wellness benefits from day one
• Competitive time-off, including company-wide holidays between Dec 25 - Jan 1
• $2000 in annual "Knowledge Dollars" for professional development
• Quarterly socials & company outings

Our Core Values:

• Bold: embracing ambitious goals, making courageous decisions, and taking calculated risks to drive impactful innovation and growth.
• Resourceful: we're self-directed problem solvers; navigating obstacles, learning and acquiring new skills as needed and making sound judgement calls within scope. Consistently delivering on commitments while maintaining a high standard of quality and dependability in all aspects of our work.
• Candid: Being honest, transparent, and open in all interactions, fostering a culture of trust and authenticity.
• Caring: Actively supporting and empathizing with our people - customers, patients, and colleagues to help them thrive and achieve their goals.

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 [e-mail].