Data Scientist Ii–Financial & Time Series Forecasting

*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 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.

As with any position additional expectations exist. Some of these are but are not limited to adhering to normal working hours meeting deadlines following company policies as outlined by the Employee Handbook communicating regularly with assigned supervisor(s) and staying focused on the assigned tasks including company meetings and completing other tasks as assigned.

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.

• Bachelors 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 Masters 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.

• Masters 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