Machine Learning Engineer

Machine Learning Engineer

ABOUT ODAIA

ODAIA noun
o·da·ia | 'oh-day-yeah
An Ancient Greek word referring to “tools of the trade.”

You can also find more information about the company and our products at odaia.ai.
ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually. 

ODAIA's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions.
We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.

Our SaaS platform turns complex data into personalized insights, helping pharma teams make informed decisions that bring therapies to patients faster.

ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.


OUR MISSION

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. 

We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.

WHAT’S ON OFFER

Reporting to the Engineering Development Manager, the Machine Learning Engineer, will possess deep expertise in building attribution models to support omnichannel personalization in the pharma industry. This role is critical in helping ODAIA advance its ML-driven product capabilities by identifying the impact of specific touchpoints (e.g., rep visits, email campaigns, webinars) on HCP engagement and prescription behavior.


WHAT YOU WILL DO

• Work with large-scale healthcare and engagement datasets (Rx, CRM, digital campaigns) to extract insights that drive product value
• Design and operationalize attribution models that quantify the causal impact of omnichannel touchpoints (e.g., rep visits, emails, webinars) on HCP prescribing behavior
• Collaborate with cross-functional teams to frame business questions as scalable data science solutions
• Define success metrics and implement robust evaluation frameworks to ensure models are both accurate and actionable
• Optimize for model explainability and usability within a commercial SaaS platform.
• Build scalable ML pipelines and services using modern MLOps tools and cloud-native infrastructure
• Rigorously evaluate and iteratively enhance machine learning model performance using appropriate statistical methods and validation frameworks
• Proactively experiment with and integrate cutting-edge ML and causal inference methods into production environments
• Champion collaboration and knowledge-sharing across teams to accelerate ML adoption and impact

WHAT YOU BRING

• 3+ years of end-to-end experience building, validating, and deploying ML models in real-world production environments, ideally within SaaS or marketing analytics.
• Deep expertise in multi-touch attribution, uplift modeling, and causal inference using both experimental and observational data.
• Strong foundation in software engineering best practices, including version control, code readability, documentation, and reproducible research
• Expert-level Python with production experience in ML libraries (e.g., scikit-learn, XGBoost, PyTorch) and orchestration tools (e.g., Dagster, Airflow)
• Experience working with large-scale data systems (e.g., S3, Snowflake, DuckDB) and cloud platforms like AWS or Azure
• Familiarity with MLOps tools (e.g., MLflow) for managing model lifecycles.
• Clear, structured communicator with the ability to align technical outputs with business and product priorities.
• Track record of delivering robust, research-backed ML solutions from concept to production and continuous iteration
• Bonus: Familiarity with pharmaceutical/life sciences data (e.g., Rx claims, CRM, salesforce activity) and commercial strategy in regulated markets.

WHAT WE OFFER

• A strong, positive values based culture, we Ignite Innovation, Own It and Stand Together
• Medical & dental benefits - with immediate enrollment for full-time, permanent employees
• Flexible working hours, focusing on what we achieve and not the number of hours we clock
• Flexible time off policies 
• Stock option grants

LOCATION

We are a remote first company with employees in both Canada and the US.  Our office hub is located downtown Toronto.  Team building, communication and social connectivity are important and we support this with virtual and in-person collaborative work sessions, team meetings and socials.

EMPLOYMENT VERIFICATION

Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.

DIVERSITY, EQUITY & INCLUSION

ODAIA is an equal opportunity employer. We are committed to building an environment where everyone feels included, valued, respected and heard. We are committed to creating a diverse workplace, and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by local laws, regulations or ordinances. 

ACCOMMODATIONS AND ACCESSIBILITY

Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].