SENIOR DATA SCIENTIST - FINANCE

DigitalOcean; San Francisco (CA); Remote; USD 150,000 - 176,000; Full time

Job summary

A leading technology company is seeking a full-stack data scientist to enhance financial modeling and analytics efforts. The role involves data modeling, predictive modeling, and BI reporting, working closely with cross-functional teams. Ideal candidates possess strong skills in Python, SQL, and data visualization, with a Master's or Ph.D. in a related field.

Benefits

Flexible time off policy

Employee Assistance Program

Career development resources

Equity compensation

Reimbursement for conferences and training

Access to LinkedIn Learning courses

Qualifications

• 3+ years of experience in data science or analytics.
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow).
• Experience with machine learning & visualization tools.

Responsibilities

• Develop data models and predictive models for financial analysis.
• Maintain BI infrastructure in Looker.
• Collaborate with FP&A and Accounting teams to analyze data.

Skills

Data Modeling

Predictive Modeling

Data Analytics

Collaboration

Documentation

Education

Master’s or Ph.D. in Data Science, Computer Science, Statistics, Economics

Tools

Python

R

SQL

Looker

dbt

Job description

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 be supporting stakeholders on the FP&A and Accounting teams. In this role you will be responsible for development of data models in dbt, BI infrastructure in Looker, and predictive modeling using R or Python, all in support of financial reporting, modeling, and analysis.

What You’ll Do

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

Qualifications

• 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.

Preferred Skills

• 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.

Why You’ll Like Working for DigitalOcean

• We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learnings 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is $150,000 - $175,200 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
• We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
• This is a remote role

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Internet Publishing

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Senior Data Scientist • San Francisco, CA, United States