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Jobright.ai
Jobright.ai

Senior Data Scientist - Finance (Remote)

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Data
Data Science
Cloud
+41

Visa

U.S. visa required

Permanent role
2 days ago
Apply now

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.

Job Summary:

DigitalOcean is a cutting-edge technology company focused on simplifying cloud and AI for builders. They are seeking a Senior Data Scientist to support financial modeling and reporting by developing data models, predictive models, and BI infrastructure while collaborating with stakeholders in FP&A and Accounting.

Responsibilities:

• 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:

Required:

• 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:

• 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.

Company:

DigitalOcean provides a cloud platform to deploy, manage, and scale applications of any size. Founded in 2012, the company is headquartered in New York, New York, USA, with a team of 1001-5000 employees. The company is currently Public Company. DigitalOcean has a track record of offering H1B sponsorships.

About Jobright.ai

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