# Associate Data Scientist

**Company:** [Solace](https://hotfix.jobs/companies/solace)
**Location:** Redwood City, CA
**Role:** Data Science
**Experience:** 0+ years
**Skills:** Python, SQL, Snowflake, pandas, scikit-learn, NumPy, Statistics, A/B Testing, Time-Series Forecasting, dbt, Airflow, Docker, AWS, Natural Language Processing
**Posted:** 2026-08-28

> Associate Data Scientist role for a 2027 college graduate, contributing to forecasting, matching, experimentation, and machine-learning systems. Requires quantitative academic training, Python and SQL proficiency, strong statistical foundations, and clear communication.

## Job Description

## Responsibilities
- Contribute to predictive models for forecasting, patient-advocate matching, and scoring systems.
- Query and wrangle data using SQL and Snowflake.
- Support the design and analysis of A/B tests and experiments.
- Collaborate with data engineers to move models from notebooks into production and learn MLOps practices.
- Apply statistical rigor to distinguish meaningful results from noise.
- Present findings and defend methodology to technical and non-technical audiences.
- Frame problems, validate models, design experiments, and make sound modeling decisions.

## Requirements
- Bachelor's or master's degree in Statistics, Data Science, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience; graduating between December 2026 and June 2027.
- Strong foundations in statistics and probability, including hypothesis testing and regression.
- Working knowledge of Python and the core data science ecosystem, including pandas, scikit-learn, and NumPy.
- Working knowledge of SQL.
- Quantitative projects, research, internships, competitions, hackathons, or personal modeling work.
- Strong problem-solving, communication, curiosity, and willingness to learn.
- Applicants must be based in the United States.

## Nice-to-Haves
- Experience with time-series forecasting, including ARIMA, Prophet, or exponential smoothing.
- Coursework or projects in causal inference or experimental design.
- Familiarity with dbt, Airflow, Docker, or AWS.
- Experience with natural language processing or unstructured text data.

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