# Data Scientist

**Company:** [Solace](https://hotfix.jobs/companies/solace)
**Location:** Remote
**Role:** Data Science
**Skills:** Python, pandas, scikit-learn, Statsmodels, NumPy, SQL, Snowflake, Machine Learning, Time Series Forecasting, Arima
**Posted:** 2026-02-10

> Build predictive ML models, time-series forecasts, and A/B tests to anticipate patient needs and optimize healthcare operations. Requires strong Python, statistics, SQL expertise, and preferably a master's/PhD in data science.

## Job Description

## What You’ll Do
- **Build Predictive Models:** Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality.
- **Drive Forecasting Rigor:** Own the development of time-series forecasts that guide our capacity planning and resource allocation.
- **Design & Analyze Experiments:** Lead the design and analysis of A/B tests and causal inference studies.
- **Uncover Deep Insights:** Apply advanced statistical methods to complex datasets to find patterns.
- **Productionize Solutions:** Work closely with Data Engineers to take your models from a local notebook to a production environment.
- **Communicate Complexity:** Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders.

## What You Bring
- **Statistical Expertise:** Strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting).
- **Python & ML Proficiency:** Fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). Write clean, reproducible code.
- **Forecasting Experience:** Hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
- **Advanced SQL:** Write complex queries to wrangle data from Snowflake.
- **Preferred Masters Degree or PhD:** Data Science, Applied Science, or related fields.
- **Data Privacy Awareness:** Familiar with best practices for handling PHI and PII.
- **Startup DNA:** Self-starter comfortable with ambiguity.

## Bonus Points
- **Deployment Experience:** Experience using tools like Docker, Airflow, or MLflow.
- **Healthcare Experience:** Working with healthcare or insurance claims data.
- **NLP & Unstructured Data:** Applying NLP techniques.
- **Marketplace Matching:** Designing matching algorithms or ranking systems.
- **dbt & Engineering Skills:** Comfort reading or writing dbt models.

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