Junior Financial Time Series Forecasting Scientist

VSolvit; Norco (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Join the VSolvit Team! We are seeking a talented Data Scientist to join our evolving and dynamic team, with an emphasis on predictive modeling and time series forecasting of financial data and agency expenditures over multi-year horizons.

This entry-level role focuses on building, validating, and maintaining forecasting models, while taking ownership of data lifecycle from scraping to transformation and rigorous validation.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field.
• Recent graduates and candidates with up to two years of relevant experience are encouraged to apply.
• Foundational knowledge of linear algebra, calculus, probability, and statistics.
• Working knowledge of Python for data manipulation and analysis, including pandas and NumPy.
• Academic, internship, research, or project experience involving statistical modeling, machine learning, predictive analytics, or time series forecasting.

Responsibilities

• Time Series & Mathematical Modeling: Support the development and evaluation of statistical and time series forecasting models, including ARIMA, Prophet, regression, and tree-based models.
• Data Pipeline Construction & Scripting: Write and maintain Python scripts to scrape, extract, clean, join, and transform structured and unstructured financial data from web sources, APIs, databases, and raw files.
• Model Validation & Quality Assurance: Execute established validation workflows, compare model performance using metrics such as RMSE, MAE, and MAPE, and identify potential data-quality or data-leakage issues.
• Quantitative Feature Engineering: Assist with analyzing historical pricing, inflation indices, budget cycles, and spending patterns to create features for forecasting models.
• Data Analysis & Documentation: Perform exploratory data analysis and document data sources, assumptions, transformations, model results, and known limitations.
• Stakeholder Communication: Create reports, visualizations, and summaries that explain analytical findings to technical and non-technical stakeholders.
• Resourcefulness & Learning: Learn new domain requirements, proprietary databases, customer tools, and forecasting methods with guidance from senior team members.
• Compliance & Security: Maintain strict compliance with defense security protocols, confidentiality guidelines, and internal data handling policies.

Skills

Time Series Forecasting

Python

Pandas

NumPy

Data Cleaning

Communication

Education

Bachelor’s degree in Mathematics/Statistics/CS/DS/Economics/Finance/Engineering

Tools

scikit-learn

statsmodels

Prophet

matplotlib

Job description

Join the VSolvit Team! We are seeking a talented Data Scientist to join our evolving and dynamic team, with an emphasis on predictive modeling and time series forecasting of financial data and agency expenditures over multi-year horizons.

This entry-level role focuses on building, validating, and maintaining forecasting models, while taking ownership of data lifecycle from scraping to transformation and rigorous validation.