Data Scientist utilizing Python and PySpark for demand forecasting. Collaborating with multiple teams to deliver end - to - end solutions while handling machine learning tasks.
About the role
- Data Scientist developing predictive models to support investment behavior at Navy Federal. Collaborating with cross-functional teams to automate data workflows and deliver actionable insights.
Responsibilities
- Develop and deploy predictive models (classification, regression, clustering, time series) to support investment behavior analysis and member targeting.
- Automate data pipelines and modeling workflows for scalable deployment across data channels.
- Develop interactive dashboards to visualize key trends and model insights
- Apply mathematical optimization to improve portfolio strategy, and campaign effectiveness.
- Conduct deep-dive analyses on member behavior, transactions, and product adoption to guide data-driven decisions.
- Collaborate with cross-functional teams to align analytics with business objectives.
- Present findings clearly to technical and non-technical audiences
- Model monitoring and documentation**
Requirements
- 2-3 years of experience with requisite competencies
- Proficient in Python, SQL, PySpark, Power BI (or Tableau)
- Hands-on experience with statistics, machine learning, time series forecasting, and mathematical optimization
- Strong communication, collaboration and presentation and problem-solving skills
- Experience with cloud platforms (e.g., Azure Databricks)
- Research skills
- Independent judgment
- Data storytelling and technical presentation skills
- Problem solving and critical thinking
- Bachelor's Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields
- Desired Qualifications: Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
- 3+ years of experience with requisite competencies
Benefits
- Highly competitive pay
- Generous benefits and perks
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