Solace - Data Scientist
Requirements
• 3+ Years of Experience within data science. • Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). • Statistical Expertise: • Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. • Python & ML Proficiency: • Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). • Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. • Advanced SQL: • Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. • Preferred Masters Degree or PHD: • Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. • Data Privacy Awareness: • Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. • Startup DNA: • 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. • NLP & Unstructured Data: • Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. • Marketplace Matching: • dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. • Applicants must be based in the United States. • Up for the Challenge? • We look forward to meeting you. • Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ashbyhq.com. Report suspicious activity to [email protected] or [email protected]. • Fraudulent Recruitment Advisory: • NEVER
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. • Build Predictive Models: • Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. • Drive Forecasting Rigor: • Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. • Design & Analyze Experiments: • Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. • Uncover Deep Insights: • Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. • Productionize Solutions: • Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. • Communicate Complexity:
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