• Developing credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections • Design and run experiments to optimise approval rates, loss rates, and profitability • Partner with product squads to embed decision logic into real-time systems • Ensure data quality, compliance, and ethical use of models across all decisioning processes • Mentor product squads on best practices in experimentation and data-driven decision making • Provide models to optimise outcomes in collections, churn management and user retention

• Developing credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections • Design and run experiments to optimise approval rates, loss rates, and profitability • Partner with product squads to embed decision logic into real-time systems • Ensure data quality, compliance, and ethical use of models across all decisioning processes • Mentor product squads on best practices in experimentation and data-driven decision making • Provide models to optimise outcomes in collections, churn management and user retention

Role Description As a Senior Data Scientist at Murmuration, you’ll practice “full-stack” data science, shepherding problems from ideation to implementation. The Data Science team works on diverse datasets with hundreds of millions of records to analyze data, build pipelines, and derive insights to power Murmuration’s data and tools. A core part of this work is our predictive stack: we use the voter file and other supplemental datasets to build scores that predict individual behaviors and beliefs, such as likelihood to turn out to vote, support an issue, or volunteer on a campaign. These scores help campaigns and organizers allocate their resources more effectively, reaching the right people at the right time. In this role, you will help drive this work forward, developing innovative methodologies with a focus on campaign data models and entity resolution. As a senior member of the team, you’ll mentor developing data scientists and junior analysts and collaborate closely with the engineering, product, and research teams. Qualifications - 6+ years of work experience as a Data Scientist or equivalent role producing models and analytics for business applications; - Deep understanding of advanced data science techniques, machine learning algorithms, and optimization methods; - Experience building and deploying machine learning models; - Proficiency in data engineering and data pipelines; - Skill in using advanced data visualization tools and techniques to effectively communicate insights and tell compelling stories with data; - Mastery of programming languages (Python and SQL), version control (Git), and ability to learn and apply new data science tools and techniques efficiently; - Exceptional problem-solving abilities, strong leadership skills, and ability to communicate insights strategically to influence team direction; - Ability to mentor and guide junior team members in their technical growth and development; - Capacity to work collaboratively with cross-functional teams and stakeholders. Requirements - Lead and execute data science projects, including predictive modeling, algorithm design, and data pipelines; - Develop innovative, industry-leading campaign data science models, specifically partisanship and turnout models; - Independently (and often collaboratively) explore data sets for insights and understanding what can help drive product development and feature prioritization; - Transform data into actionable and compelling insights through analysis and visualization, and then effectively communicate these data-driven stories to internal and external stakeholders through memos and presentations; - Collaborate with the Engineering Team to take data science products and concepts into production; - Provide guidance and mentoring to level-up junior data scientists in both formal and informal learning sessions; - Apply emerging AI technologies to R&D challenges; you’ll prototype novel approaches, evaluate feasibility, and bridge the gap between cutting-edge capabilities and practical usability. Benefits - Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members; - Retirement benefits with a 5% employer match; - A flexible unlimited PTO plan; - Generous paid parental leave; - Pre-tax commuter benefits; - A company laptop; - A flexible remote work environment; - A home office setup stipend for all new employees; - Monthly reimbursement for remote work expenses; - A yearly professional development fund; - Mental health and wellness benefits through Calm and Better Help; - Yearly in-person staff retreats; - A welcoming culture that celebrates diversity, equity, inclusion, and belonging.

• Analyze permit submission comments and rejection patterns to identify the most common causes of delays and opportunities to improve review cycle times. • Build, maintain, and refine NLP pipelines that classify reviewer comments into meaningful topics using clustering techniques and LLM-based approaches. • Design, test, and optimize prompts for Azure OpenAI and other AI models to classify, summarize, and extract insights from unstructured text. • Develop metrics, dashboards, and reports that translate data analysis into actionable recommendations for internal and external stakeholders. • Write and optimize SQL queries and Python-based ETL processes to extract, transform, and load data from SQL Server and cloud-based storage environments. • Evaluate AI and machine learning model outputs for quality, accuracy, consistency, and appropriate handling of sensitive information. • Design and execute experiments to measure and improve the effectiveness of classification models, prompts, and analytical approaches. • Partner with cross-functional teams to support data-driven decision-making and continuous improvement initiatives.