Principal Data Scientist

Job Title: Principal Data Scientist, Digital Innovation and Predictive Formulations Primary Location: 3 -Days Hybrid in Bridgewater, NJ Position Type: Direct Hire Overview TalentFish is seeking a Principal Data Scientist, Digital Innovation and Predictive Formulations to lead the technical strategy, architecture, and execution of advanced data science capabilities for a global food and ingredient innovation organization. This principal-level professional will design and scale an adaptive data lakehouse and analytical framework that transforms complex scientific and formulation data into actionable insights. The individual will help food scientists and product formulators use data to improve ingredient selection, guide experimentation, develop predictive formulations, and accelerate customer-focused product innovation. This is a highly visible, hands-on technical leadership role for someone who can establish a long-term data science vision, build production-ready machine learning capabilities, advise business and technical leaders, and mentor other data scientists. The Principal Data Scientist reports to the Director of Digital Innovation. What You'll Do Lead the design and implementation of a robust, scalable data framework that can evolve with the organization's innovation and product-development needs. Architect and scale a dynamic data lakehouse and democratized analytical layer within the Google Cloud ecosystem. Create data capabilities that support ingredient selection, predictive formulation, scientific experimentation, and customer-focused product innovation. Partner with engineering and technical teams to establish scalable machine learning pipelines that can adapt quickly to emerging business and scientific challenges. Develop, validate, deploy, and continuously improve machine learning models aligned with evolving business needs. Apply advanced statistical and machine learning techniques to complex, real-world business and product-development challenges. Translate business and scientific questions into structured analytical problems and data-driven solutions. Identify and prioritize high-value data science and AI use cases in partnership with digital innovation leadership. Demonstrate the measurable business value, insight, and impact delivered by data science initiatives. Establish the long-term technical vision for predictive modeling, data science, analytics, and supporting data architecture. Serve as a trusted technical advisor to business leaders, scientific teams, data professionals, and other stakeholders. Communicate complex technical concepts clearly to technical, business, scientific, and nontechnical audiences. Mentor and develop data scientists while fostering a culture of technical excellence, curiosity, collaboration, and continuous improvement. Evaluate emerging capabilities, including generative AI, machine learning platforms, and advanced modeling techniques. Balance multiple…