Senior Data Scientist - Finance

DigitalOcean; Seattle (WA); Remote; USD 125,000 - 146,000; Full time

Job summary

A leading cloud computing company is seeking a Senior Data Scientist to develop data models and predictive analytics in finance. The role involves collaboration with finance teams and requires expertise in Python, R, and SQL. The company emphasizes career development, employee well-being, and diversity.

Benefits

Flexible Time Off

Employee Assistance Programs

Conference Reimbursements

Training and Development

Stock Grants

Qualifications

• 3+ years of experience in data science or analytics.
• Strong proficiency in Python and R for modeling.

Responsibilities

• Develop data models and predictive models for financial reporting.
• Collaborate with FP&A and Accounting to translate business questions.

Skills

Python

R

SQL

Data Visualization

Machine Learning

Education

Master’s or Ph.D. in Data Science

Tools

Looker

Snowflake

TensorFlow

PyTorch

Databricks

Job description

Join to apply for the Senior Data Scientist - Finance role at DigitalOcean

We are looking for a full stack data scientist who is passionate about financial modeling and reporting.

As a Data Scientist at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager, Data Analytics and will primarily support stakeholders in the FP&A and Accounting teams. Responsibilities include developing data models in dbt, BI infrastructure in Looker, and predictive modeling using R or Python, all to support financial reporting, modeling, and analysis.

What You’ll Do

1. Data Modeling: Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, dbt, or similar tools.
2. Predictive Modeling: Develop, test, and implement predictive models and machine learning algorithms to solve business challenges such as revenue forecasting and churn prediction.
3. Data Analytics & BI Reporting: Develop and maintain BI infrastructure in Looker to enable stakeholder analysis and reporting.
4. Collaboration: Work closely with FP&A, Accounting, and other stakeholders to translate business questions into data science problems and communicate findings effectively.
5. Documentation: Create and maintain detailed documentation of data architectures, processes, and best practices.

Qualifications

1. Master’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.
2. 3+ years of experience in data science, analytics, or a similar role.
3. Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.
4. Solid experience with SQL (Snowflake) and dbt for building and querying data models.
5. Knowledge of machine learning, statistical modeling, and optimization techniques.
6. Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.
7. Experience with data visualization tools (Looker, Tableau, Power BI, Matplotlib, ggplot, etc).
8. Familiarity with financial forecasting is a plus.

Preferred Skills

1. Experience in causal inference, econometrics, or Bayesian methods.
2. Hands-on experience with ML Ops, model deployment, or data engineering workflows. Experience with Databricks is a plus.
3. Ability to work in a fast-paced, cross-functional environment.

Why You’ll Like Working for DigitalOcean

• We innovate with purpose. You’ll be part of a cutting-edge technology company with an upward trajectory, committed to simplifying cloud and AI to empower builders to create impactful software. As a team member, you'll be a Shark—thinking big, bold, and scrappy, with an owner’s mindset and a strong sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you’ll do your best work. You will collaborate with some of the smartest people in the industry. Our high-performance culture challenges you to think big. Our organizational development resources include conference reimbursements, training, and LinkedIn Learning courses to support your growth.
• We care about your well-being. Regardless of location, you'll have access to benefits like Employee Assistance Programs, local meetups, flexible time off, and more. Benefits may vary based on local regulations.
• We reward our employees. The salary range for this position is $125,000 - $146,000, based on experience and skills. Additional bonuses and equity compensation are available, including stock grants and participation in the Employee Stock Purchase Program.
• We value diversity and inclusion. We are an equal-opportunity employer, committed to a diverse workforce and inclusive environment, without discrimination based on race, religion, gender, age, disability, or other protected characteristics.
• This is a remote role.