Analytics Data Scientist (hybrid)

System One, Inc.; Vienna (VA); Hybride; USD 83 000 - 152 000; Plein temps

Résumé du poste

System One, Inc. is seeking an Analytics Data Scientist in Vienna, VA (hybrid) to transform complex questions into actionable insights that improve member experiences.

You will apply exploratory data analysis, statistical modeling, NLP, and A/B experimentation to drive measurable impact across digital products and services, collaborating with product, technology, and business teams. This contract role emphasizes delivering dashboards and data-driven recommendations.

Qualifications

• BS in data science, analytics, statistics, economics, or related quantitative field.
• 1–5 years in data science, analytics, BI, or related project work.
• Strong SQL and Python skills; R is a plus.
• Experience with EDA, hypothesis testing, regression, forecasting, segmentation, and NLP.
• Ability to translate analyses into insights and recommendations for stakeholders.
• Comfortable in notebook environments and quick to learn new methods.
• Excellent communication and data storytelling abilities.

Responsabilités

• Analyze member digital behavior using SQL and Python.
• Perform exploratory data analysis to identify patterns in product adoption and customer experience.
• Partner with stakeholders to solve digital experience challenges.
• Develop, automate, and maintain analytical solutions providing actionable insights.
• Apply statistical methods to understand customer behavior and support data-driven decisions.
• Apply text analytics, NLP, and AI-assisted techniques to summarize feedback and surface friction points.
• Analyze app reviews, surveys, VoC sources to research Voice of the Customer and Voice of the Member.
• Translate findings into dashboards, presentations, and data stories for exec audiences.

Connaissances

SQL

Python

NLP / sentiment analysis

EDA / statistics

Experimentation

Data storytelling

Communication

Formation

Bachelor's degree in data science / analytics / statistics / economics

Master’s degree (desired)

Outils

R (beneficial)

Description du poste

Analytics Data Scientist

Location: Vienna, VA (hybrid)

Pay Rate: Open to Both C2C and W2 options

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
• 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

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

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Ref: #851-Rockville-S1