Data Scientist

Role: Data Scientist Location: San Diego CA (Onsite) Hire Type: Contract Need Only Local candidate ready for in person interviews Qualifications • 8+ years of experience in data science, analytics, or a related field. • Proven ability to extract insights from data and communicate compelling data-driven stories that drive business impact. • Excellent SQL skills for data extraction, manipulation, and pipeline development. • Expertise in data visualization tools (e.g., Tableau, Qlik). • Experience with Python or R for advanced analytics, modeling, and automation is a plus. • Familiarity with big data tools (e.g., Snowflake, Spark, Databricks) is a plus. • Machine learning and Generative AI experience is a plus. • Ability to manage multiple projects simultaneously in a fast-paced environment. • Strong problem-solving and end-to-end quantitative thinking skills. • Passion for mentorship and developing talent within the team. • Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems. Drive Business Impact through Localized Analytics • Identify and develop key performance metrics to measure the effectiveness of Canadian assisted offerings, including Full Service, Business Tax, Assist & Review, Audit Coach, and Audit Defense. • Partner with cross-functional leaders across operations, product, and engineering to deliver insights that improve customer experience, reduce friction in human assisted flows, and support service consistency across English and French-speaking customers. • Automate and maintain localized reporting to support real-time, data-informed decision-making year-round and through the tax season. Elevate Data Infrastructure & Modeling for Canada • Extend and adapt core dashboards and models to meet Canadian requirements, incorporating localized taxonomy, metric definitions, and region-specific workflows. • Lead development of segmentation frameworks (e.g., digital vs. expert support) to guide proactive help strategies and improve resolution outcomes. • Optimize data pipelines and ensure robust, scalable infrastructure to support business intelligence across the Canadian expert support ecosystem . Improve Operational Efficiency & Seasonal Readiness • Analyze channel efficiency metrics – such as customer serving time and digital help and escalation trends – across chat, async, and voice to inform staffing, routing, and tooling decisions. • Support operational planning and execution throughout the season, including launch readiness, backlog management, and change management aligned with Canadian compliance and service expectations. • Drive clarity and understanding of KPI performance, including establishing data-driven metric targets, performing root cause analysis, and developing automated processes for key stakeholders. Influence Strategy Through Insightful Storytelling • Deliver clear, compelling narratives that translate complex analytical findings into actionable recommendations for both technical and non-technical audiences. • Aggregate VOC (voice of customer) signals – spanning surveys, chat, and call data – to proactively shape various customer journeys and surface opportunities for experience improvement. • Collaborate closely with senior leaders and cross-functional stakeholders to ensure alignment on strategy, service quality, and customer success in the Canadian market.