Data Scientist I–Financial & Time Series Forecasting

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 entry 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: 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.

Basic Qualifications

US Citizenship Required

Ability to obtain and maintain a Secret Security Clearance

• Bachelors 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 professional internship research or academic 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.
• Basic understanding of single-variable and multi-variable forecasting methods.
• Understanding of model evaluation concepts including training and test datasets error metrics overfitting and data leakage.
• Strong attention to detail and the ability to organize document and communicate analytical work.
• Strong verbal and written communication skills with the ability to explain technical concepts clearly.
• 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

• Coursework internship research or project experience in Economics Finance Econometrics Accounting or time series analysis.
• Experience with scikit-learn statsmodels Prophet matplotlib or similar analytical libraries.
• Familiarity with SQL APIs web scraping ETL processes or data-processing tools.
• Experience completing a capstone thesis internship or personal project involving forecasting or predictive modeling.
• Exposure to government defense budgeting or financial datasets.
• Familiarity with inflation adjustments budget cycles fiscal years and macroeconomic factors.
• Familiarity with version control tools such as Git or GitHub.
• Continued education and interest in current and emerging AI/ML technologies.
• Strong problem-solving skills and the ability to work 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