Remote Principal Data Scientist II (AI)

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Seismic

πŸ“Remote - Canada

Job highlights

Summary

Join Seismic, a rapidly growing Forbes Cloud 100 company, as a Principal Data Scientist I - AI Architect to shape the AI strategy and drive the development of innovative AI solutions across our platform.

Requirements

  • 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
  • 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
  • SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern machine learning technologies and operational infrastructure
  • Product Development: Experience in collaborating with product management and design, with the ability to translate business requirements into technical solutions that drive successful delivery
  • Leadership Skills: Excellent leadership and communication skills, with the ability to inspire and motivate teams to achieve their full potential
  • Strategic Mindset: 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
  • Education: Bachelor's or master's degree or higher in Computer Science, Engineering or a related field

Responsibilities

  • Define and drive the AI Technology and Architectural directions for Seismic, ensuring alignment with business goals and product roadmaps
  • 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
  • Lead the integration of AI capabilities across the Seismic platform, including data foundation, conversational intelligence, video analysis, content management and discovery systems
  • Provide strong technical leadership and guidance to the data science and engineering teams, fostering a culture of collaboration, innovation, and continuous learning
  • Collaborate with product managers, engineers, designers and other stakeholders to identify opportunities for AI-driven product enhancements and collaborate on AI product roadmap development
  • Define and analyze key metrics to measure the success of AI initiatives, ensuring high-quality, high-performance, scalable, and reliable solutions

Benefits

  • Competitive compensation package, including salary, bonus, and equity options
  • A supportive, inclusive work culture
  • Professional development opportunities and career growth potential in a dynamic and collaborative environment
  • Generous time off, paid company holidays and end of year company shutdown
  • Medical, dental, vision, employer-paid life insurance and disability benefits
  • Access to Health Savings Account (HSA) with $1,000 Single/$2,000 annual employer contribution
  • Access to free paid telemedicine and wellness offers through medical plan
  • Fertility and family planning benefits with financial assistance for adoption and surrogacy
  • Paid parental leave and family caregiver leaves
  • Annual professional development reimbursement
  • Mental health support with 12 free counseling sessions for you and your family members
  • 401k with annual employer match
  • Equity program and performance-based bonuses
  • Bring Your Own Device technology stipend
  • Seismic Cares Program with charitable donation matching

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