Data Scientist

The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making.

In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful.

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. You will help us anticipate “what comes next” with higher accuracy.
• 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.
• 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.
• 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.
• 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., Commercial Data Scientist will develop machine learning models, analyze large healthcare datasets, identify clinician behavioral patterns, and create reusable data products. The role partners with Product, Data, Strategy, Insights, and Sales teams to deliver client-facing analyses and data-driven recommendations. Responsibilities include statistical analysis, production model development, complex SQL querying, scalable data processing, automation, and communicating technical insights through compelling visualizations and narratives. Top Skills: Artificial IntelligenceDistributed Data ProcessingMachine LearningPythonPyTorchSQLTensorFlow Clear Street

• Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting).
• Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code.
• 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.
• Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields.
• 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.
• 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.

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.

Build predictive and machine learning models for patient needs, operational forecasting, churn, advocate quality, and risk. Design A/B tests and causal inference studies, apply advanced statistical methods, productionize models with data engineers, and communicate insights to business stakeholders. The role requires Python, advanced SQL, forecasting expertise, statistical proficiency, data privacy awareness, and the ability to work independently in a fast-paced healthcare startup. The summary above was generated by AI About Solace, 200K-350K Annually Senior level 200K-350K Annually Senior level Fintech * Software * Financial Services Own the reliability and quality of an AI copilot for a trading platform. Build evaluation frameworks, benchmarks, quality gates, monitoring, incident response, and model improvement workflows. Partner with engineering and product to create safe, auditable tool interactions and improve assistant behavior. Develop domain expertise in trading, risk, margin, execution, and portfolio reasoning while operating across model, backend, and frontend systems. Top Skills: Evaluation PipelinesLlm ApisModel ServingObservability And Telemetry ToolingPostgresReactReact NativeRustTraining PipelinesTypescript Square, 95K-168K Annually Entry level 95K-168K Annually Entry level eCommerce * Fintech * Hardware * Payments * Software * Financial Services Develop data science solutions for payments across Square and Cash App. Build AI-powered tools, ETL pipelines, dashboards, machine learning models, experiments, and cloud data systems. Partner with Product, Engineering, Finance, and Operations to improve payment success, cost efficiency, risk mitigation, and decision-making. Translate business needs into practical solutions, research questions independently, and operationalize data processes and infrastructure. Top Skills: AICloud InfrastructureETLMachine LearningPythonSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
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Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions-and get better outcomes.

We’re a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly.

Solace isn’t a place to coast. We’re here to redefine healthcare-and that demands urgency, precision, and heart. If you’re looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you’re in the right place. We’re intense, and we like it that way., At Solace, data isn’t just about understanding the past; it’s about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats.