Entry-Level Data Scientist: Financial Time Series Forecasting

VSolvit, LLC; Norco (CA); On-site; USD 65,000 - 90,000; Full time

Job summary

VSolvit, LLC is seeking a Data Scientist to build, validate, and maintain multi-variable time series forecasting models for financial data. You will manage data from scraping to transformation and ensure rigorous model validation in a defense-security oriented environment.

The role emphasizes mathematical modeling, predictive analytics, and collaboration with senior team members to adapt methods to evolving data and domains.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or related quantitative field.
• Recent graduates with up to two years of relevant experience encouraged to apply.
• Foundational knowledge of linear algebra, calculus, probability, and statistics.
• Working knowledge of Python for data manipulation and analysis (pandas, NumPy).
• Experience with statistical modeling, machine learning, or time series forecasting.

Responsibilities

• Support development and evaluation of statistical and time series forecasting models (ARIMA, Prophet, regression, tree-based).
• Write and maintain Python scripts to scrape, extract, clean, join, and transform data from various sources.
• Execute validation workflows and compare model performance using RMSE, MAE, MAPE.
• Assist with feature engineering from historical pricing, inflation, budgets, and spending patterns.
• Perform exploratory data analysis and document data sources, transformations, and results.
• Create reports and visualizations to explain analytical findings to stakeholders.

Skills

Time series forecasting

Python

Pandas

NumPy

scikit-learn

Prophet

Mathematical modeling

Education

Bachelor's degree in Mathematics/Statistics/CS/Data Science

Tools

Python scripts

SQL

Job description

VSolvit, LLC is seeking a Data Scientist to build, validate, and maintain multi-variable time series forecasting models for financial data. You will manage data from scraping to transformation and ensure rigorous model validation in a defense-security oriented environment.

The role emphasizes mathematical modeling, predictive analytics, and collaboration with senior team members to adapt methods to evolving data and domains.