Data Scientist

About the role

The Solace Data Team is seeking a Data Scientist to join our rapidly growing startup. You will develop and refine machine learning models to predict patient churn, estimate operational volume, and score advocate quality. Your responsibilities include driving forecasting rigor, designing and analyzing experiments, uncovering deep insights, and communicating complex statistical findings to non-technical stakeholders.

Responsibilities

• 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 that simple reporting might miss.
• 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.

Requirements

• 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).
• Forecasting Experience: Hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
• Advanced SQL: Can write complex queries to wrangle your own data from Snowflake.
• Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields.
• Data Privacy Awareness: Understands the importance of protecting patient data and best practices for handling PHI and PII.
• Startup DNA: Self-starter who is comfortable with ambiguity and willing to take ownership of problems.

Qualifications

• Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production.
• Healthcare Experience: Experience working with healthcare or insurance claims data is a plus.
• NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data.
• Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces.
• dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data.

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).
• Forecasting Experience: Hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
• Advanced SQL: Can write complex queries to wrangle your own data from Snowflake.
• Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields.
• Data Privacy Awareness: Understands the importance of protecting patient data and best practices for handling PHI and PII.
• Startup DNA: Self-starter who is comfortable with ambiguity and willing to take ownership of problems.

Bonus Points

• Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production.
• Healthcare Experience: Experience working with healthcare or insurance claims data is a plus.
• NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data.
• Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces.
• dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data.

Pay

Competitive salary commensurate with experience.

Schedule

Full-time, remote position.

Benefits

Healthcare benefits available.

Skills

• Statistical Expertise
• Python & ML Proficiency
• Forecasting Experience
• Advanced SQL
• Preferred Masters Degree or PHD
• Data Privacy Awareness
• Startup DNA
• Deployment Experience
• Healthcare Experience
• NLP & Unstructured Data
• Marketplace Matching
• dbt & Engineering Skills

Benefits

• Healthcare benefits available.

Pay

Competitive salary commensurate with experience.

Schedule

Full-time, remote position.

Location

Based in the United States.