Principal Data Scientist - AI

July 21

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Seismic

Sales Enablement β€’ Enterprise Content Management β€’ Content Automation β€’ Sales and Marketing Alignment β€’ Coaching and Training

1001 - 5000

Description

β€’ Define and drive the AI Technology and Architectural directions for Seismic, ensuring alignment with business goals and product roadmaps. β€’ Work hands-on with Data Scientists and Machine Learning Engineers to build AI & ML applications, assessing tradeoffs and evaluating options to deliver high quality and high value product solutions. β€’ Lead the integration of AI capabilities across the Seismic platform, including data foundation, conversational intelligence, video analysis, content management and discovery systems. β€’ Provide strong technical leadership and guidance to the data science and engineering teams, fostering a culture of collaboration, innovation, and continuous learning. Stay abreast of the latest trends and techniques in AI and ML, conducting research and experimentation to drive innovation and maintain a competitive edge. β€’ Collaborate with product managers, engineers, designers and other stakeholders to identify opportunities for AI-driven product enhancements and collaborate on AI product roadmap development. β€’ Define and analyze key metrics to measure the success of AI initiatives, ensuring high-quality, high-performance, scalable, and reliable solutions.

Requirements

β€’ 15+ years of experience (or 12+ years of experience with advanced degrees) in data science and AI, with a proven track record of building AI software products, and leading technical efforts. β€’ Strong expertise in AI & ML model and use case development, including hands-on experience with Python or related languages for data analytics, GenAI and machine learning. β€’ Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern machine learning technologies and operational infrastructure. Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure. Experience with kubernete-based microservice architecture. β€’ Experience in collaborating with product management and design, with the ability to translate business requirements into technical solutions that drive successful delivery. β€’ Excellent leadership and communication skills, with the ability to inspire and motivate teams to achieve their full potential. β€’ Strong problem-solving and decision-making skills, with a strategic mindset and the ability to develop a strong point of view and drive vision forward. β€’ Bachelor's or master's degree or higher in Computer Science, Engineering or a related field. β€’ Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company.

Benefits

β€’ Take time to rest and recharge with generous time off, paid company holidays and end of year company shutdown. β€’ Medical, dental, vision, employer-paid life insurance and disability benefits β€’ Access to Health Savings Account (HSA) with $1,000 Single/$2,000 annual employer contribution β€’ Access to free paid telemedicine and wellness offers through medical plan β€’ Fertility and family planning benefits with financial assistance for adoption and surrogacy β€’ Paid parental leave and family caregiver leaves β€’ Annual professional development reimbursement β€’ Mental health support with 12 free counseling sessions for you and your family members β€’ 401k with annual employer match β€’ Equity program and performance-based bonuses β€’ Bring Your Own Device technology stipend β€’ Seismic Cares Program with charitable donation matching

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