• Design and develop ML models for outreach personalization, including contextual bandits, reinforcement learning, and classification models. • Design and develop AI agents that generate dynamic, personalized nudge content and conversational interventions. • Design and analyze large-scale A/B tests and experimentation frameworks to evaluate ML models, data-driven signals, nudges, and content strategies. Define success metrics and ensure statistically sound experimentation practices. • Collaborate on the design of data pipelines and event schemas that feed the product, ensuring high-quality data for real-time decisioning and offline analysis. • Define and implement robust monitoring frameworks for the product, including short-term engagement metrics, longer-term retention, opt-outs, and intervention fatigue. • Lead, mentor, and grow the data scientists of the team. Set technical direction, ensure high-quality delivery, and foster strong collaboration with Product and Engineering stakeholders. • Inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

• Develop and implement data science models to enhance learning, assessment, and training platforms. • Conduct data analysis, statistical analysis, and predictive modeling to identify trends and patterns in educational data. • Develop machine learning models including logistic regression, random forest, and clustering algorithms tailored for educational purposes. • Use psychometric methods like Item Response Theory and Rasch Models to improve assessment data quality. • Create data visualizations and dashboards using Power BI and Tableau for educational stakeholders. • Work with cross-functional teams, including educators and researchers, to understand requirements and deliver insights. • Optimize ETL processes for data integration and preprocessing specific to educational datasets. • Support the development of adaptive learning systems and personalized learning experiences through data-driven approaches. • Implement and utilize Graph API and OData endpoints to integrate and analyze data from various sources. • Work with large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enhance educational tools and provide personalized learning experiences. • Leverage vector databases to store and retrieve high-dimensional data efficiently.

• Design, build, and maintain predictive machine learning models • Partner with GTM teams to design and analyze controlled experiments • Execute proactive, complex analytical deep dives to discover latent user behavior • Support the interpretation of Marketing Mix Modeling results • Define, instrument, and govern a unified Key Performance Indicator (KPI) framework • Translate complex statistical findings and model outputs into compelling business narratives • Work closely with Data Engineering to ensure data quality • Provide technical guidance to peers and stakeholders

Role Description We are seeking an experienced Data Scientist Senior to support enterprise analytics and reporting initiatives. This role will focus heavily on converting SQL stored procedures into Alteryx workflows and updating Tableau dashboards with new data sources. The ideal candidate will have strong expertise in SQL, ETL processes, Alteryx, Tableau, and advanced analytical methodologies. Location: Remote Duration: 6 months Key Responsibilities - Convert SQL stored procedures into scalable Alteryx workflows - Develop and enhance Tableau dashboards and reporting solutions - Work with large, complex data sets to solve business problems using statistical and analytical approaches - Design, build, and refine machine learning and predictive models - Source, cleanse, and prepare data for enterprise analytics initiatives - Support deployment and productionization of analytical models - Perform data validation, monitoring, and data drift analysis - Collaborate with stakeholders to deliver actionable insights and reporting solutions - Review and optimize code for efficiency, scalability, and best practices - Support compliance with organizational risk and regulatory standards Qualifications - Advanced SQL and ETL experience - Alteryx workflow development expertise - Tableau dashboard development experience - Experience with statistical analysis, predictive modeling, and machine learning techniques - Knowledge of SQL and NoSQL database technologies - Experience analyzing large and complex data sets - Strong analytical, communication, and problem-solving skills Requirements - Bachelor’s degree and minimum 5 years of related experience OR a combined minimum of 9 years of higher education and/or work experience including at least 5 years of related experience - Experience with statistical methodologies including A/B testing, hypothesis testing, and model bias evaluation - Experience working with cloud and on-premise hybrid data environments Preferred Qualifications - Master’s or PhD in Statistics, Economics, Finance, Computer Science, Engineering, or related quantitative field - Experience with econometric and statistical techniques such as logistic regression, time-series analysis, and panel data methods - Experience deploying enterprise-scale analytical and machine learning solutions - Financial services or regulated industry experience preferred - Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. To Apply To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Tana Stilloe at Tana.Stilloe@ctg.com . Kindly forward this to any other interested parties. Thank you! The expected base salary for this position ranges from $43.06 to $71.76/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.