Data Scientist

Note to Applicants: We are actively reviewing all submissions! Even if you see a high number of applicants, we encourage you to apply if your skills align with the role. We value every application and are committed to finding the right fit. Responsibilities Strategic Leadership: • Lead and contribute to future-state roadmaps, focusing on technical design and optimization, while fostering mentorship and collaboration. • Modernize lead generation processes across media, marketing, and sales with data-driven solutions, ensuring privacy and compliance standards. • Mentor the team in advanced analytics tools and methodologies, aligning strategies with growth goals and AI transformation objectives. • Build scalable, intelligent systems to improve efficiency and integrate AI-assisted workflows into daily operations. Lead Generation: • Develop and execute 1st, 2nd, and 3rd party data-driven scoring systems to predict and enhance metrics like CAC, LTV, NPS and conversion rates. • Identify, define, and enable target audiences and market triggers in industries such as retirement strategies, wealth management, and insurance. • Implement tools for scoring lead opportunities across digital and traditional channels. • Conduct data mining to discover high-value audience cohorts and segments. Segmentation & Scoring: • Utilize AI/ML methods including clustering, classification, and recommendation systems for segmentation and lead scoring model development and iteration. • Define requirements for an AI-powered lead scoring engine in the B2B2C space. • Collaborate across matrixed organizations to continuously refine models for improved segmentation and targeting precision and impact. Qualifications: Experience: • Success in scaling AI/ML-powered segmentation, lead generation, and scoring frameworks. • Experience in wealth management, asset management, or insurance with a firm understanding or customer journeys and compliance. • Ability to translate technical insights into marketing strategies across multiple business lines. • Design and implement complex analytical solutions using Epic-recommended Cogito tools to drive clinical decision-making. Technical Skills: • Expert-level proficiency in AI/ML frameworks specifically for segmentation and predictive modeling, with demonstrated experience in deploying, optimizing, and maintaining models using platforms such as SageMaker, Azure, and Databricks. • Advanced coding skills in SQL, Python, and R, capable of designing sophisticated algorithms and scripts for data analysis and manipulation to inform strategic marketing decisions. • Extensive experience with business intelligence tools like Tableau and Power BI, including the development of interactive audience and opportunity exploration utilities that translate data insights into actionable business strategies. • Familiarity with AI-based lead scoring solutions and signal intelligence platforms such as 6Sense and Bombora, with a track record of effectively implementing these tools to enhance precision in lead segmentation and scoring