SymphonyAI · 1 day ago
Director, Data Scientist (Predictive & Agentic AI)
United States
Full-time
Remote
Lead/StaffSymphonyAI is seeking a Director of Data Science - Predictive & Agentic AI to lead the design, development, and deployment of advanced AI capabilities across their enterprise SaaS platforms. This role requires deep technical expertise and the ability to translate AI innovation into customer and business value, focusing on predictive analytics and agentic AI systems.
RetailArtificial Intelligence (AI)FinanceConsumer GoodsSoftwareManufacturingMedia and EntertainmentInformation TechnologyFinancial ServicesIndustrial ManufacturingMachine Learning
Responsibilities
Lead and mentor a high-performing, global team of data scientists, ML engineers, and applied researchers
Define and execute the AI vision and roadmap across Predictive AI, Decision Intelligence, Agentic AI, and Generative AI
Act as a thought leader for AI strategy, influencing executive stakeholders and product direction
Own the development of predictive, prescriptive, and causal models, including forecasting, optimization, propensity modeling, anomaly detection, and decision scoring
Ensure predictive models serve as the statistical foundation for agentic and generative AI workflows
Translate probabilistic outputs into clear, actionable recommendations for enterprise users
Drive the design and deployment of LLM-powered agents and multi-agent systems that reason, plan, and execute actions grounded in trusted data and models
Oversee model development using LLMs, transformers, diffusion models, and hybrid architectures that combine deterministic and generative approaches
Ensure generative AI augments human decision-making rather than replacing core analytical rigor
Establish a robust experimentation and measurement framework, including offline validation, online A/B testing, causal inference, and counterfactual analysis
Own model consistency, stability, and reproducibility, ensuring reliable outputs under equivalent conditions and clear signaling when uncertainty or variability is expected
Define success metrics tied directly to business outcomes and user adoption
Build AI systems that are explainable, transparent, and auditable, with clear decision rationale, feature attribution, and confidence scoring
Design human-in-the-loop workflows, enabling expert users to review, override, and refine AI recommendations
Ensure AI outputs align with the intuitive expectations of experienced domain professionals
Partner closely with engineering, product management, and customer success to deliver scalable AI solutions in SaaS environments
Establish best practices for MLOps, model monitoring, governance, and responsible AI, ensuring compliance, safety, and operational excellence
Stay ahead of emerging trends in predictive modeling, agentic systems, foundation models, and AI orchestration
Qualification
Required
Proven experience leading enterprise-scale data science organizations delivering real-world AI products
Deep expertise in predictive modeling, machine learning, and statistical methods, combined with hands-on experience in LLMs and agentic AI frameworks
Strong intuition for trust, explainability, and usability in AI systems used by expert, high-stakes decision makers
Track record of translating complex AI capabilities into measurable business impact
Excellent communication skills, with the ability to influence both technical and non-technical stakeholders
Passion for building inclusive teams, fostering experimentation, and driving continuous learning
Company
SymphonyAI
SymphonyAI is an enterprise AI company focused on delivering AI solutions for vertical sectors
Founded in 2017
1001-5000 employees
H1B Sponsorship
SymphonyAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2019-01-01Seed
Leadership Team
Sanjay Dhawan
Chief Executive Officer
Pushpraj Shukla
Chief Technology Officer
Recent News
Company data provided by crunchbase