Skip to content
Senior Data Scientist
| Company | DigitalOcean |
|---|
| Location | San Francisco, CA, USA |
|---|
| Salary | $150000 – $175200 |
|---|
| Type | Full-Time |
|---|
| Degrees | Master’s, PhD |
|---|
| Experience Level | Senior |
|---|
Requirements
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.
- 3+ years of experience in data science, analytics, or a similar role.
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.
- Solid experience with SQL (Snowflake) and dbt for building and querying data models.
- Knowledge of machine learning, statistical modeling, and optimization techniques.
- Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.
- Experience with data visualization tools (Looker, Tableau, Power BI, Matplotlib, ggplot, etc).
- Familiarity with financial forecasting is a plus.
Responsibilities
- Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, dbt, or similar tools.
- Develop, test, and implement predictive models and machine learning algorithms to solve business challenges such as revenue forecasting and churn prediction.
- Develop and maintain BI infrastructure in Looker to enable stakeholder analysis and reporting.
- Work closely with FP&A, Accounting, and other stakeholders to translate business questions into data science problems and communicate findings effectively.
- Create and maintain detailed documentation of data architectures, processes, and best practices.
Preferred Qualifications
- Experience in causal inference, econometrics, or Bayesian methods.
- Hands-on experience with ML Ops, model deployment, or data engineering workflows. Experience with Databricks is a plus.
- Ability to work in a fast-paced, cross-functional environment.
