Senior Data Scientist
| Company | Mercury |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA, Portland, OR, USA, Remote in Canada |
| Salary | $200700 – $250900 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years of experience working with and analyzing large datasets to solve problems and drive impact
- Fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.)
- Experience building scalable data pipelines and ETL processes with DBT and understanding different database structures
- Ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership
- Super organized and communicative, with the ability to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels
- Familiarity with analytical models/analysis used to support product teams.
Responsibilities
- Partner with Product stakeholders and other cross-functional teams to identify impactful business questions, conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions.
- Define and analyze metrics that inform tactical decisions and overall strategy for teams that allow us to monitor the health of our products.
- Educate teams on how to best use data and define best practices for making decisions on prioritization, experimentation, data models, and more.
- Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
- Collaborate with other Data Scientists and Data Engineers to build and improve data pipelines, tools, and infrastructure to streamline data collection, processing, and analysis workflows, and ensure the integrity, reliability, and security of data assets.
- Influence engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury.
Preferred Qualifications
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No preferred qualifications provided.