Data Scientist

• Serve as the primary point of contact for At Work-related data and analytics needs
• Partner with CAPTRUST’s centralized data team to prioritize, design, and improve data solutions supporting At Work
• Help establish consistent definitions, metrics, and reporting standards across the At Work practice
• Improve data quality, clarity, and usability over time
• Support and enhance internal and client-facing reporting used by At Work teams
• Work closely with Operations to understand recurring reporting needs and reduce one-off or manual efforts
• Develop dashboards and reports that support operational planning, advisor effectiveness, and leadership decision-making
• Translate reporting outputs into insights that inform action, not just describe activity
• Develop qualitative and quantitative measures of client and participant engagement, trust, and relationship health
• Help establish ongoing feedback loops across the client and participant lifecycle, beyond episodic surveys
• Identify trends that signal strengthening relationships, stagnation, or potential breakdowns
• Support analysis related to the annual financial wellness survey and other experience-related initiatives
• Analyze patterns associated with strong long-term outcomes such as sustained engagement, retention, and expansion of advisory relationships as needs evolve
• Partner with leadership and Operations to identify where additional investment of time or resources may be needed
• Help reduce reliance on anecdotal feedback through clearer, shared insight

Data & Analytics Lead

• Actionable Insight: Generate compelling and actionable insights from complex, multi-source marketing data sets that directly inform channel investment, campaign design, and pipeline strategy.
• Stakeholder engagement: Establish strong collaborative relationships with marketing leaders and operators across demand gen, partner, field, product marketing, and brand, delivering high-impact analytics initiatives that translate loose, evolving requirements into clear deliverables.
• Attribution & Measurement: Design, build, and maintain the attribution framework for UpGuard – spanning first and multi-touch attribution and incrementality testing – and clearly communicate the trade-offs and assumptions behind each lens.
• Channel & Program Analytics: Develop a deep, first-principles understanding of channel logic across paid media, organic, content, lifecycle, partner, and field, and build the metrics, models, and dashboards that let each program owner self-serve their performance.
• Data Products: Partner with the data engineering team to design, construct, and maintain foundational marketing data assets – translating loose marketing requirements into well-specified dbt models that the whole organisation can rely on.
• Business Intelligence: Partner strategically with marketing stakeholders to provide robust self-service and conversational analytics capabilities, using design thinking principles to build user-friendly dashboards for funnel performance, channel ROI, partner sourced pipeline, and field event attribution.
• Deep Dive analysis: Personally conduct thorough, hands-on, technical analysis to diagnose and solve the most significant marketing challenges – from channel saturation and diminishing returns to lead quality decay and campaign cannibalisation.
• Commercial Analysis: Provide ongoing operational support to the commercial growth of the organisation, connecting marketing investment to pipeline, ARR, and payback in ways that finance and the executive team trust.

Marketing Analytics Lead

• Gather, preprocess, and validate datasets from internal and external sources.
• Identify trends, patterns, and anomalies using statistical and visual techniques.
• Build and evaluate predictive models using machine learning algorithms.
• Create dashboards and visual reports to communicate findings to stakeholders.
• Maintain clear records of methodologies, code, and project outcomes.
• Work closely with cross-functional teams to align data solutions with business needs.

Data Science, AI Intern

• Collaborate with leaders across the organization to develop and execute on a data strategy inline with ActBlue's near and long term goals, including supporting organizational growth through acquisitions and partnerships
• Foster a data centric culture by upleveling our ability to make data-informed decisions and build best in class data products that meet rigorous performance and reliability standards
• Enable and advocate for AI/ML driven products and features across the ActBlue Platform through building scalable machine learning infrastructure that serves production environments and identifying new opportunities to deploy data science and analytics capacity in service of our mission
• Oversee our Data Science, Data Analytics, Data Engineering, and Data Platform teams in a fast-paced, mission-driven environment
• Guide the evolution of our data systems, tools, and architecture to meet the organization's needs, including data consolidation, governance frameworks, and unified data models across multiple entities
• Ensure high-quality communication and a stakeholder-centric approach between our data teams and their internal customers, with an emphasis on responsiveness and partnership during high-stakes moments

Director of Data Science – Engineering

• To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.
• Develops, prepares, and manages predictive models through completion.
• Identifies required resources; researches data, procedures, and history for a thorough understanding of project direction.
• Collects new data and statistics from multiple sources and generates statistical analysis.
• Collaborates with data management team to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
• Partners with both business and IT leaders to influence how the organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
• Prepares reports using various system programs and coordinating with other departments.
• Develops and trains the data management team on new or updated procedures as needed.

• Leverage a broad range of techniques to turn data into actionable business insights
• Tackle complex analytical problems and uncover trends
• Operate in a fast-paced environment managing projects end-to-end
• Work with stakeholders to identify opportunities for leveraging company data
• Mine and analyze data to drive optimization and improvement
• Develop custom data models and algorithms
• Communicate business requirements to ensure buy-in from all departments
• Participate in projects to provide data and analyses as needed

• Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics
• Perform strategic analysis and research to identify new opportunities where business can be improved
• Create data visualizations to translate analytic results for broad understanding across the business
• Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the payments team

Senior Data Scientist, Payments

• Drive the development of innovative AI (generative and predictive) based solutions for enterprise stakeholders
• Translate business needs into AI solutions aligning with strategic goals
• Design and build best-in-class AI and agent evaluation capabilities
• Consult with business to contextualize and translate the results of our analysis
• Plan, prepare and deliver analytical solutions at a high standard ready for implementation

Senior Data Scientist – AI Services and Platforms

• Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
• Responsible for supporting cross-functional teams and providing in-depth data insights for complex business problems approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data.
• Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
• Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
• Assists with the evaluation of data science vendors and tools.

See all jobs on JobTailor

Data & Analytics Lead

Marketing Analytics Lead

Data Science, AI Intern

Director of Data Science – Engineering

Data Scientist

Data Scientist

Senior Data Scientist, Payments

Senior Data Scientist – AI Services and Platforms

Data Scientist