Entry-Level Data Scientist: Financial Forecasting

Vsolvit-LL; Norco (CA); On-site; USD 48,000 - 63,000; Full time

Benefits offered by this job

Health benefits program

401K Retirement Plan

Tuition Reimbursement

Job summary

VSolvit seeks a Data Scientist I to join our Financial & Time Series Forecasting team in Norco, CA. This entry-level role focuses on building, validating, and maintaining multi-variable time series models to forecast financial data and agency expenditures.

You will develop data pipelines, perform feature engineering, document methodologies, and communicate results to technical and non-technical stakeholders while learning domain specifics and defense security requirements.

Qualifications

• Bachelor’s degree in a quantitative field.
• Entry-level or up to 2 years of experience encouraged to apply.
• Foundational knowledge of linear algebra, calculus, probability, and statistics.
• Working knowledge of Python for data manipulation.
• Experience with statistical modeling or time series forecasting.

Responsibilities

• Develop and evaluate time series forecasting models (ARIMA, Prophet, regression, tree-based).
• Build data pipelines to scrape, clean, and transform financial data from various sources.
• Validate models using RMSE, MAE, MAPE and address data quality issues.
• Engineer features using historical pricing and budgeting data.
• Document data sources, transformations, and model results.
• Create reports and visualizations for stakeholders.

Skills

Mathematics foundation

Statistical modeling

Time series forecasting

Python programming

Data analysis

Communication

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or related field

Tools

Python (pandas, NumPy)

scikit-learn

statsmodels

Prophet

matplotlib

SQL

APIs

Web scraping

ETL processes

Job description

VSolvit seeks a Data Scientist I to join our Financial & Time Series Forecasting team in Norco, CA. This entry-level role focuses on building, validating, and maintaining multi-variable time series models to forecast financial data and agency expenditures.

You will develop data pipelines, perform feature engineering, document methodologies, and communicate results to technical and non-technical stakeholders while learning domain specifics and defense security requirements.