Job Url: https://www.remoterocketship.com/company/digitalocean-2/jobs/senior-data-scientist-finance-united-states-remote Job Description: DigitalOcean Website LinkedIn All Job Openings DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage. Cloud Computing • Cloud Servers • Virtual Hosting • Cloud Hosting • Cloud Infrastructure 1001 - 5000 employees Founded 2011 ☁️ SaaS Senior Data Scientist - Finance 4 days ago ⛰️ Colorado – Remote 💵 $125k - $146k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem 📋 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. •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. 🎯 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. 🏖️ Benefits •We innovate with purpose. •We prioritize career development. •We care about your well-being. •We reward our employees. •We value diversity and inclusion.