Analytics Data Scientist

ONLY H1B, USC, GC, GC-EAD, TN With 13+YRS of Experience
Role: Analytics Data ScientistLocation: Vienna, VA (hybrid)Position Type: Contract
Description:Our Digital Data Science & Analytics team is focused on understanding and improving the digital experiences of our members. Through analytics and applied data science, we uncover insights, inform strategic decisions, and enhance digital experiences and operations across the organization.We are seeking a motivated customer-experience-focused analytics professional who is passionate about solving real-world business problems through data. This role is ideal for someone who enjoys combining exploratory analysis, statistical methods, experimentation, behavioral analytics, and fit-for-purpose modeling techniques to uncover insights and drive measurable impact.As a member of our team, you will collaborate with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Our team draws from a broad range of analytical and data science techniques to deepen understanding of member behavior and digital experiences. This work spans areas such as digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, member behavior modeling, feature adoption measurement, and operational optimization, helping drive better decisions, improve member outcomes, and enhance the digital experience for millions of members. Qualifications:Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field 5+ years’ experience conducting data science, business intelligence, analytics, statistical analysis, or related project workProficiency using SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficialExperience applying analytical and statistical methods such as exploratory data analysis (EDA), hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problemsExperience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholdersComfort working in notebook-based analytical environmentsStrong curiosity and ability to learn new analytical methods and technologies quicklyExcellent communication and data storytelling skills
Desired Qualifications:Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical fieldExperience analyzing customer behavior, digital products, customer feedback, or customer experienceExperience presenting complex analyses to executive audiences with decision-support materialsKnowledge of financial services or digital banking productsAdvanced SQL and Python skills
Responsibilities:Analyze member digital behavior using Python and SQLConduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experiencePartner with business stakeholders and product teams to solve digital experience challengesDevelop, automate, and maintain analytical solutions that provide actionable business insightsApply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisionsApply text analytics, NLP, and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction pointsAnalyze app reviews, surveys, contact center interactions, social media, and other digital feedback sources to conduct Voice of the Customer (VoC) and Voice of the Member (VoM) researchTranslate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences