jobapplier

Data Scientist

Solace

Skills

Required

  • forecasting
  • Python
  • data science
  • time-series analysis
  • ML
  • pandas
  • scikit-learn
  • statsmodels
  • NumPy
  • write clean, reproducible code
  • ARIMA
  • Prophet
  • exponential smoothing

Preferred

  • Docker / Airflow / MLflow
  • development of time-series forecasts
  • A/B tests
  • causal inference studies

Join Solace, a rapidly scaling startup focused on predicting the future of healthcare. As a Data Scientist, you will lead high-impact projects that directly influence our strategic decision-making. You will develop predictive models, drive forecasting rigor, design and analyze experiments, uncover deep insights, productionize solutions, and communicate complexity to non-technical stakeholders. You should have proficiency in Python and machine learning, experience with time-series analysis and forecasting techniques, and a strong background in statistics and mathematics.

Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality.

Responsibilities

  • Own the development of time-series forecasts that guide our capacity planning and resource allocation, helping to anticipate "what comes next" with higher accuracy.
  • Lead the design and analysis of A/B tests and causal inference studies, ensuring we measure the true impact of our product and operational changes.

Requirements

  • 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)
  • 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
  • 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
  • Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting)
  • 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
  • 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

Preferred

  • 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

Pay

USD 160,000 - 200,000