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Adonis

Senior Data Scientist

Adonis

. Build and deploy machine learning models powering core analytics and intelligence features .

Posted 11/4/2026full-timeNew York City • New York • United StatesSenior💰 $190,000 - $210,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in building and deploying machine learning models, with a strong foundation in statistics and experience in cloud infrastructure. Capable of conducting exploratory data analysis and effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords
Machine Learning Model DeploymentPython ProficiencySQL ProficiencyMLOps Tooling ExperienceCloud Infrastructure Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningData AnalysisStatisticsProbabilityModel Monitoring
Soft Skills
Clear CommunicationCollaboration
Tools & Technologies
Scikit-LearnXGBoostAWSMLflowTemporal
Industry Keywords
Data ScienceApplied Machine LearningData PipelineExperiment TrackingOrchestration

Tech Stack

Tools & technologies
AWSCloudPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • Build and deploy machine learning models powering 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

What you’ll need
  • Four 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
  • Ability to work from the NYC office three times per week
  • Must answer whether visa sponsorship will be required to work in the United States

Benefits

Comp & perks
  • 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
  • Easy access to all trains and the PATH
  • Amazing views of the city