Eight plus years of experience in data science or applied ML roles.
Proven success in deploying models in real product environments.
Strong proficiency in Python and SQL for data manipulation and analysis.
Experience with ML frameworks like scikit-learn or XGBoost.
Solid understanding of statistics, probability, and machine learning fundamentals.
Familiar with cloud infrastructure, preferably AWS.
Knowledge of data pipeline tooling and orchestration.
Responsibilities
Build and deploy machine learning models for analytics features.
Conduct exploratory data analysis on large claims datasets.
Collaborate with engineering to integrate models into production.
Monitor model performance and improve based on outcomes.
Communicate insights clearly to cross-functional teams.
Contribute to developing data pipelines and warehouses.
Benefits
Competitive equity packages
Employer-paid medical, dental, and vision insurance
Employer-funded HSA
Parental leave
Commuter benefits
Daily office lunches and snacks
Generous PTO
Located in 3 World Trade Center with excellent transit access and scenic views.
Full Job Description
About the Role
Adonis is adding a new Senior Data Scientist to join our growing DS/ML team. You'll work across the modeling lifecycle, from exploratory analysis to production on real claims data, with clear ownership of your work and direct exposure to product and engineering. This role is ideal for someone who executes well independently and is ready to take on larger problem scopes.
Responsibilities
Build and deploy machine learning models that power our core analytics and intelligence features
Conduct exploratory data analysis on large-scale claims datasets to identify patterns and anomalies
Collaborate with engineering to integrate models and data products into production systems
Monitor model performance and iterate based on results
Communicate findings clearly to cross-functional stakeholders including product and customer-facing teams
Contribute to data pipeline and warehouse development as needed
Requirements
Eight plus years of experience in a data science or applied ML role
Demonstrated track record of taking models from development to production in a real product environment
Strong proficiency in Python and SQL
Experience taking at least one model from development to production
Solid grounding in statistics, probability, and ML fundamentals
Hands-on experience with ML frameworks : scikit-learn, XGBoost, or similar
Experience with cloud infrastructure, preferably AWS
Experience with data pipeline tooling and orchestration (sqlMesh, Temporal, or equivalent)
Ability to communicate findings clearly to both technical and non-technical audiences
Experience with MLOps tooling; experiment tracking (MLflow or similar), orchestration (Temporal, Prefect), and model monitoring
Nice to Have
Exposure to EHR or RCM data specifically
Familiarity with anomaly detection methods
Familiarity with recommendation systems
The base salary range for this position is $225,000 - $250,000. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages.
Compensation Philosophy
Actual base pay will depend on job-related knowledge, skills, and experience. Adonis determines compensation based on each candidate's experience and qualifications relative to peers, and most new hires fall near the middle of the range. In addition to base salary, you'll receive meaningful equity and great benefits.
Perks at Adonis
Competitive equity packages
Employer-paid medical insurance
Employer-paid dental insurance
Employer-paid vision insurance
Employer-funded HSA
Parental leave
Commuter benefits
Office lunches every day
Office snacks
Generous PTO
Located in 3 World Trade Center with easy access to all trains and the PATH, and amazing views of the city