About Odaia
ODAIA is a remote first organization, all our positions are WFH
OUR MISSION Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.
What's On Offer Engineering Development Manager Senior Machine Learning Engineer
What You Will Do
- Develop, implement, and optimize advanced machine learning models, focusing heavily on predictive modeling, time-series analysis, causal inference, and hierarchical modeling
- Research and experiment with novel machine learning approaches to solve complex predictive problems and enhance customer insights.
- Design and build scalable machine learning pipelines, ensuring efficient data workflows and robust data handling practices
- Rigorously evaluate and iteratively enhance machine learning model performance using appropriate statistical methods and validation frameworks
- Own end-to-end responsibility for the ML model lifecycle---from problem definition and exploratory analysis to deployment, monitoring, and iteration
- Clearly articulate complex modeling concepts, insights, and analytical outcomes to both technical colleagues and business stakeholders
- Ensure solutions delivered are scalable, high-quality, and promptly address evolving customer needs and business objectives.
- Continuously assess and integrate new advances in machine learning research, statistical methodologies, and analytical techniques into existing frameworks.
- Foster collaborative relationships, emphasizing effective communication and proactive knowledge sharing within and across teams.
What You Bring
- 5 years of professional experience in developing and deploying advanced machine learning models, particularly in data science or analytics-intensive environments.
- Strong proficiency in Python, with extensive experience in statistical analysis and machine learning libraries (e.G., Scikit-learn, XGBoost, PyTorch) and orchestration frameworks (e.G., Dagster).
- Demonstrated expertise in causal inference, predictive modeling, hierarchical modeling, and advanced statistical methods for analyzing complex data structures, including time-series data.
- Solid understanding of statistical validation methods, experimental design, hypothesis testing, and rigorous model evaluation metrics.
- Proven track record in conducting exploratory data analysis, feature engineering, and interpreting complex model outcomes clearly and effectively.
- Ability to design and iterate upon robust, research-driven machine learning solutions, from initial concept through deployment and continuous improvement.
- Familiarity with cloud-based ML environments (AWS, Azure, GCP), especially related to data science workflows and analytical toolsets.
- Strong foundation in software engineering best practices, including version control, code readability, documentation, and reproducible research.
- Excellent analytical thinking skills, combined with the ability to clearly communicate data-driven insights and recommendations to both technical and non-technical stakeholders.
- A passion for continuous learning and applying the latest advancements from machine learning and data science research to practical business problems.
- If you think you may not check every box, don't worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality
What We Offer
- A strong values based culture, we Ignite Innovation , Own It and Stand Together
- Tremendous growth and unique learning opportunities
- A large amount of ownership and autonomy for managing things directly
- No waiting period for medical and dental benefits enrollment
- Flexible working hours, focusing on what we achieve and not the number of hours we clock
- An open and flexible vacation policy
- Stock option grants
- Career development opportunities, and a solid business model - we're in it for the long haul!
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