A Virginia-based financial services firm is seeking a Data Scientist for a hybrid contract role in Vienna. This position focuses on digital analytics, customer behavior, and Voice of the Customer insights to help inform product, experience, and business decisions.
About the Opportunity:
Schedule: Monday to Friday
Hours: Standard business
Setting: Hybrid (At least 3 days a week onsite)
Responsibilities:
Analyze digital customer behavior to identify patterns in engagement, adoption, and experience.
Perform exploratory and statistical analysis to evaluate digital experiences and support data-driven decisions.
Partner with product, technology, and business stakeholders to translate questions into analytical solutions.
Develop, automate, and maintain analytical solutions that deliver actionable business insights.
Apply NLP, text analytics, and AI-assisted techniques to summarize feedback, identify sentiment, and surface friction points.
Qualifications:
1 to 5 years of experience in data science, business intelligence, analytics, statistical analysis, or a related field.
Bachelor's degree in Data Science, Business Analytics, Statistics, Applied Mathematics, Economics, or a related quantitative discipline.
Proficiency with SQL for data extraction and analysis.
Proficiency with Python for data preparation, exploratory analysis, statistical analysis, and modeling.
Experience applying analytical and statistical methods such as EDA, hypothesis testing, regression, forecasting, segmentation, clustering, experimentation, NLP, or sentiment analysis.
Experience translating analytical findings into actionable insights, recommendations, or measurable business outcomes.
Comfortable working in notebook-based analytical environments.
Strong curiosity and ability to learn new analytical methods and technologies quickly.
Excellent communication and data storytelling skills.
Desired Skills:
Master's degree in Data Science, Business Analytics, Statistics, Applied Mathematics, Economics, or a related quantitative field.
Experience analyzing customer behavior, digital products, customer feedback, or customer experience.
Experience presenting complex analytical findings to executive audiences.
Knowledge of financial services or digital banking products.
Advanced SQL and Python skills.
