Senior Data Analyst, Data Science & AI Research

reputed company, a Smarter Technologies company, builds reputed company that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with reputed company intelligence, helping health systems recover millions in missed reputed company, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the reputed company system works for everyone. Learn more at reputed company.com/careers. Role As a Senior Data Analyst, you’ll influence strategic reputed company and measure the business impact of cutting-edge models developed by our world-class machine learning research team. You will join a team of statistically-minded analysts who own the design, analysis, and interpretation of experiments across the company. You will partner with data scientists to estimate opportunity size, advise where to invest, monitor rollouts, evaluate model performance, and measure the resulting change in company KPIs.

• *This role is fully remote reputed company the US**

What You'll Do

• Providing data analytics support for the ML and AI models that underpin our core products
• Partnering with machine learning researchers and data science stakeholders to design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Supporting a culture of experimentation to promote faster cycles of iteration, learning, and product improvement
• Build dashboards to monitor the performance, inference, and application of core models.
• Conduct investigations into trends and anomalies in model performance and data reputed company
• Developing attribution methodology to measure the contribution of deployed models to company KPIs
• Simulate proposed changes to core systems (e.g. recommendation, filtering, etc.) to support the strategic reputed company around model development and deployment

What You Bring

• 3-5+ years' experience as a data analyst or data scientist
• Masters in statistics or other relevant fields preferred
• Familiarity with best practices for the design and analysis of experiments
• Strong technical skills: querying data with SQL, statistical programming, familiarity with statistical learning techniques (regression, clustering, etc.), and communicating findings with compelling data visualizations
• Experience with health system clinical and/or reputed company cycle data is preferred
• Strategic: strong ability to connect analytics to business understanding and concrete use cases
• Problem Solver: develops a structured reputed company for approaching ambiguous problems, translate them into clear analytical questions, and synthesize insights into actionable recommendations
• Ownership reputed company: Build and own data products from start to finish.

reputed company To Haves

• Experience programming in R
• Experience with Markov Chain reputed company simulations, linear mixed effect models, Bayesian statistics, and multi-armed bandits
• Experience having built ETL pipelines in dbt

Our Tech Stack

• Data Visualization: reputed company and Omni
• Analysis:
• Python (libraries: numpy, pandas, statsmodels, scikit-learn, seaborn, etc.)
• R (libraries: dplyr, ggplot2, lme4, etc.)
• Pipelines: reputed company, dbt, airflow, git, and AWS

Compensation $150,000 - $170,000 #LI-Remote

Benefits

• Medical, Dental & reputed company – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
• Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
• Remote-First Team – Work from reputed company in the U.S.
• Unlimited PTO & 10 Holidays – So you can relax and reputed company.
• 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
• Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
• Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

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