DATA SCIENTIST II–FINANCIAL & TIME SERIES FORECASTING

VSolvit; Norco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Join VSolvit as a Data Scientist in Norco, CA, focusing on time-series forecasting for financial data and agency expenditures. You will build and validate predictive models, manage data pipelines, and communicate insights to leadership.

This on-site role requires strong math, Python proficiency, and experience with backtesting and model monitoring. The ideal candidate works well independently in a fast-paced defense-related environment and can translate complex results into actionable

Qualifications

• Degree in Mathematics, Statistics, CS, Data Science, Economics, Finance, Engineering or related field.
• 3+ years of professional experience; advanced degrees may substitute.
• Strong foundation in linear algebra, calculus, probability and statistics.
• Proficient Python for data manipulation, modeling, and automation.
• Experience in predictive/time-series modeling and backtesting.
• Ability to build clean, documented analytical code and pipelines.
• Excellent verbal and written communication for stakeholders.

Responsibilities

• Develop, compare, validate, and maintain multi-variable forecasting models.
• Design and maintain Python data pipelines for financial data.
• Conduct backtesting and time-based cross-validation workflows.
• Engineer quantitative features from pricing, inflation, and spending data.
• Evaluate forecast performance and prevent data leakage / look-ahead bias.
• Document model assumptions, dependencies, and usage guidance.
• Translate results into clear reports and leadership-ready briefings.
• Provide technical guidance to junior data scientists.

Skills

Python

Time Series Forecasting

Statistical Modeling

Data Manipulation

Model Validation

Backtesting

Communication

Independent Investigation

Education

Bachelor’s degree in a quantitative field

Master’s or Ph.D. may substitute for experience

Tools

scikit-learn

statsmodels

Prophet

XGBoost

LightGBM

SQL

APIs

Web Scraping

ETL

Git

CI/CD

Containers / Cloud

Job description

Job Summary

We are seeking a talented and driven Data Scientist to join our evolving and dynamic team. This position is open to candidates at Mid to Senior level of experience who possess a strong mathematical foundation and a passion for predictive modeling. In this role, you will build, validate, and maintain multi-variable time series forecasting models to project financial data and agency expenditures over multi-year horizons. You will work directly with financial records, taking ownership of the data lifecycle, from scraping, joining, and transforming raw datasets to rigorous model validation. We are looking for a resourceful problem-solver who excels at mathematical modeling, adapts quickly to changing data environments, and ensures our predictive tools remain accurate and resilient.

• 100% ON-SITE Norco, CA*

Job Summary

We are seeking a talented and driven Data Scientist to join our evolving and dynamic team. This position is open to candidates at Mid to Senior level of experience who possess a strong mathematical foundation and a passion for predictive modeling. In this role, you will build, validate, and maintain multi-variable time series forecasting models to project financial data and agency expenditures over multi-year horizons. You will work directly with financial records, taking ownership of the data lifecycle, from scraping, joining, and transforming raw datasets to rigorous model validation. We are looking for a resourceful problem-solver who excels at mathematical modeling, adapts quickly to changing data environments, and ensures our predictive tools remain accurate and resilient.

Responsibilities

• Time Series & Mathematical Modeling: Independently develop, compare, validate, and maintain advanced single-variable and multi-variable forecasting models using methods such as ARIMA, Prophet, regression, exponential smoothing, and tree-based models.
• Data Pipeline Construction & Scripting: Design and maintain modular Python scripts and data pipelines to scrape, extract, clean, join, validate, and transform structured and unstructured financial data.
• Model Validation & Quality Assurance: Design and execute backtesting, time-based cross-validation, regression testing, and model-monitoring workflows to ensure accuracy when code or data inputs change.
• Quantitative Feature Engineering: Analyze historical pricing, inflation indices, economic indicators, budget cycles, and spending patterns to develop statistically and economically defensible features.
• Model Performance & Risk Analysis: Evaluate forecast performance using RMSE, MAE, MAPE, bias, benchmark comparisons, and prediction intervals while preventing data leakage and look-ahead bias.
• Technical Ownership: Document model assumptions, limitations, data dependencies, validation results, and recommended uses of model outputs.
• Stakeholder Communication: Translate complex modeling results into clear reports, visualizations, recommendations, and leadership briefings.
• Technical Guidance: Provide technical support, code reviews, and guidance to junior Data Scientists or analysts as assigned.
• Resourcefulness & Learning: Evaluate new forecasting, statistical, AI, and machine-learning approaches and recommend improvements to analytical workflows.
• Compliance & Security: Maintain strict compliance with defense security protocols, confidentiality guidelines, and internal data handling policies.

Basic Qualifications

US Citizenship Required

Ability to obtain and maintain a Secret Security Clearance

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field and at least three years of relevant professional experience.
• A Master’s or Ph.D. degree in a related quantitative field may substitute for a portion of the professional experience requirement.
• Strong mathematical foundation in linear algebra, calculus, probability, statistics, and hypothesis testing.
• Professional proficiency in Python for data manipulation, statistical modeling, time series forecasting, and automation scripting.
• Demonstrated professional experience developing and validating predictive or time series forecasting models.
• Demonstrated knowledge of both single-variable and multi-variable forecasting methods.
• Experience with backtesting, time-based cross-validation, model benchmarking, and error-metric evaluation.
• Strong understanding of data leakage, look-ahead bias, overfitting, feature stability, and model uncertainty.
• Experience developing clean, modular, documented, and maintainable analytical code.
• Ability to independently investigate data-quality, pipeline, or model-performance issues.
• Strong verbal and written communication skills with the ability to explain mathematical models, assumptions, risks, and results to non-technical stakeholders.
• If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered.

Preferred Skills and Qualifications

• Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field.
• Professional experience in Economics, Finance, Econometrics, Quantitative Accounting, financial planning, or budget forecasting.
• Experience forecasting financial expenditures, pricing trends, inflation-adjusted costs, or multi-year budget requirements.
• Experience with scikit-learn, statsmodels, Prophet, XGBoost, LightGBM, or similar modeling libraries.
• Experience with SQL, APIs, web scraping, ETL processes, databases, and automated data pipelines.
• Experience working with government financial data or in a defense-related environment.
• Experience with automated testing, model monitoring, reproducible analytical workflows, or production model deployment.
• Experience with DevOps practices, Git, GitHub, CI/CD pipelines, containers, or cloud environments.
• Experience preparing technical documentation, customer briefings, and leadership presentations.
• Experience reviewing code or mentoring junior technical staff.
• Continued education and knowledge of current and emerging AI/ML technologies.
• Strong problem-solving skills and the ability to work independently in a fast-paced environment.

Company Summary

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.

VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status