Branch Operations is hiring a Senior Data Scientist to provide independent data science, machine learning, and analytical insights using member, financial, and organizational data. You will support mission-critical decision making and marketing campaigns by creating descriptive, predictive, and prescriptive models.
What You'll Do
- Design, develop, and evaluate moderately complex predictive models and advanced algorithms
- Identify meaningful insights from large data and metadata sources
- Translate marketing concepts into machine learning solutions
- Test hypotheses and models, analyzing and interpreting results
- Develop and code moderately complex software programs, algorithms, and automated processes
- Use modeling and trend analysis to analyze data and provide actionable insights
- Develop an understanding of best practices and ethical AI
- Transform data into charts, tables, or other formats to aid effective decision making
- Build working relationships with team members and subject matter experts
- Lead small projects and initiatives
- Collaborate with multiple teams across marketing
- Utilize effective written and verbal communication to document and present findings to a diverse audience of stakeholders
What We're Looking For
- 3-5 years of experience in exploratory data analysis and modeling
- Proficiency in programming, data modeling, simulation, and advanced mathematics
- Python (or PySpark) and SQL skills
- Model development experience
- Data storytelling and technical presentation skills
- Technical writing ability
- Working knowledge of procedures, instructions, and validation techniques
- Ability to collaborate and build relationships
- Technical skills in big data analysis, coding, project management, and technical writing
- Problem-solving skills that respond as issues are identified
- Basic understanding of business and operating environment
- Statistics knowledge
- Understanding of experiment design
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field
Nice to Have
- Master's or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
- Ability to translate marketing concepts into machine learning
- Pega experience, including marketing campaigns
- Model factory software experience (e.g., DataRobot)
- PowerBI or similar data visualization experience
- Databricks knowledge
Technical Stack
- Python, PySpark, SQL
- Pega, DataRobot, PowerBI, Databricks
Team & Environment
You will collaborate with multiple teams across marketing as part of a dynamic, cross-functional environment.
Benefits & Compensation
- Highly competitive pay
- Generous benefits and perks
Work Mode
This is an onsite role based at 820 Follin Lane, Vienna, VA 22180.
All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
