Data Scientist - Customer Experience Analytics

About the role

Title: Data Scientist - Customer Experience Analytics

Location: Vienna, VA (HYBRID)

Duration: Initial 6-month contract with possible extensions

Compensation: $60/hour - $64/hour

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Data Scientist - Customer Experience Analytics

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.

Responsibilities:

Analyze member digital behavior using Python and SQL

Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience

Partner with business stakeholders and product teams to solve digital experience challenges

Develop, automate, and maintain analytical solutions that provide actionable business insights

Apply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisions

Apply text analytics, NLP, and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction points

Analyze 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) research

Translate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences

Qualifications:

Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field

1-5 years’ experience conducting data science, business intelligence, analytics, statistical analysis, or related project work

Proficiency using SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficial

Experience 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 problems

Experience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholders

Comfort 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 Qualifications:

Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field

Experience analyzing customer behavior, digital products, customer feedback, or customer experience

Experience presenting complex analyses to executive audiences with decision-support materials

Knowledge of financial services or digital banking products

Advanced SQL and Python skills

Our benefits package includes:

Comprehensive medical benefits

Competitive pay

401(k) retirement plan

…and much more!

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact HR@inspyrsolutions.com for assistance.

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