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Senior Data Scientist - Medical Software Company

Andiamo

New York · On-site Full-time Senior 1w ago

About the role

Senior Data Scientist

About The Role

Partner with product and engineering to turn data into decisions. You’ll design experiments, build predictive models, and deliver insights that move key metrics.

What You’ll Do

  • Frame problems, define success metrics, and design A/B tests or quasi-experiments.
  • Build models for prediction, ranking, segmentation, or forecasting.
  • Develop data pipelines and features with engineering partners.
  • Communicate results clearly to technical and non-technical audiences.
  • Establish best practices for measurement, causal inference, and model monitoring.

What We’re Looking For

  • 6+ years in applied data science or analytics.
  • Proficiency in Python, SQL, and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow).
  • Experience with experimentation, causal methods, or time-series.
  • Strong stakeholder management and storytelling with data.

About Andiamo

Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.

For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.

Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com

Requirements

  • Proficiency in Python, SQL, and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow).
  • Experience with experimentation, causal methods, or time-series.
  • Strong stakeholder management and storytelling with data.

Responsibilities

  • Frame problems, define success metrics, and design A/B tests or quasi-experiments.
  • Build models for prediction, ranking, segmentation, or forecasting.
  • Develop data pipelines and features with engineering partners.
  • Communicate results clearly to technical and non-technical audiences.
  • Establish best practices for measurement, causal inference, and model monitoring.

Skills

PythonSQLTensorFlowPyTorchpandasscikit-learn

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