Analytics Data Scientist
System OneAbout the role
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
#M1
Ref: #851-Rockville-S1
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
Skills mentioned
About System One
System One is a leading provider of specialized, highly technical outsourced services, workforce solutions, staffing, and recruiting to critical infrastructure, technology, life sciences, and government sectors As an essential partner to private and public organizations of various needs and sizes, we offer our expertise to help them bring their most complex and mission-critical programs to fruition. With our highly specialized services, in-demand technical skills, and vast operational expertise, we can deliver accelerated results that benefit our clients and the job seekers who partner with us. We staff contract, contract-to-hire, and direct-hire professionals across our network to work with our clients, some of whom are industry leaders and nationally branded organizations. Our dedicated team of recruiters work tirelessly to match jobseekers with careers that align with their skills, aspirations, and goals. We understand that finding the right job can be a transformative experience, and we are committed to supporting jobseekers throughout their career journeys. Our recruitment services are designed to connect individuals with fulfilling jobs that offer growth and development opportunities. Whether you're an organization seeking customized workforce solutions, outsourced services, or if you're a jobseeker searching for your next opportunity, System One is the ideal partner for you.
H-1B sponsorship history
Historical employer filing data was found for System One. The employer record includes 76 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.