Research Data Scientist
Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.
About the job
What You’ll Do
- Conduct data science research to push our experimental methodologies to the bleeding edge of social science
- Develop robust tools to uncover insights in experimental data
- Prototype data science improvements to core platform features
- Communicate the results of data science investigations to both internal and external stakeholders
Who You Are
- Fluency in the python data science stack
- Expertise in statistical, analytical, and data science methods
- Excellent communication and data visualization skills
- Ability to work independently, prioritizing multiple important tasks/deadlines
- A keen eye for the 20% of effort that delivers 80% of the results
- Being a flexible team player whose values align with ours
Preferred Qualifications
- Experience writing and reviewing production-quality python code
- Experience working in a fast-moving startup environment
- Experience interacting with MongoDB databases
- Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field
Benefits
- 100% Medical, Dental & Vision Plans - no employee contribution required
- Generous PTO
- Equity Options
- 401k plan, FSA
- Ongoing professional development investments
Salary: $125-$165k, dependent on experience and location
Skills
Python, pandas, NumPy, scikit-learn, Statistical Methods, Data Visualization, MongoDB
Similar jobs
Data Science jobsConducts independent neuroscience experiments involving multi-electrode and electrophysiological recordings, analyzes data, prepares publication-ready materials, and mentors junior staff. Requires a related master's degree, three years of experience, Biology expertise, and strong data presentation skills.
Analytics Manager serving as a hands-on individual contributor, partnering cross-functionally to solve business problems, design experiments, build predictive models, and deliver trusted reporting. Requires 5–7 years of relevant experience, advanced SQL, Python, machine learning, and strong stakeholder communication.
Own demand generation and field marketing for selected US and Canadian territories, partnering closely with Sales and Energy Markets to generate pipeline, advance deals, and support program launches. The role requires end-to-end B2B campaign experience, strong communication, and proficiency with HubSpot and Salesforce.
Develops and ships data science models and financial insights that guide Finance and business decisions. The role requires 3+ years of industry experience, strong SQL and AI proficiency, and familiarity with financial metrics or B2B enterprise sales processes.
Own Ramp’s AI-focused economic research and build a customer-facing economics function using large-scale business spend data. The role requires 5+ years as a data scientist or economist, strong SQL and BI expertise, rigorous writing, data visualization, and executive communication.