Data Scientist II

Summary

Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale. As a Data Scientist II, you will design, build, and ship AI-powered product features, focusing on agent-based and LLM-driven experiences while collaborating with product managers, engineers, and other data scientists to develop reliable and scalable AI solutions.

Responsibilities

• Contribute to the development of AI-powered product features, from prototyping and experimentation through production delivery, deployment and iteration
• Build and improve AI/machine learning, especially LLM-based systems (e.g., copilots, conversational workflows, or agent-style experiences) using established frameworks and internal platforms
• Work with product and design teams to understand user needs and translate them into practical AI-driven solutions
• Partner with engineers, designers, and other data scientists to build, test, and refine AI features, balancing model performance, system reliability, and user experience
• Help define and analyze metrics to evaluate model performance, product usage, and customer impact, and use data to guide improvements

Skills

• Education: Bachelor's, Master's, or higher degree in Computer Science, Engineering, or related fields
• Experience: 2–4 years of industry experience in data science, machine learning, or applied AI (or 1–2 years with an advanced degree), with experience contributing to production systems or product features
• Coding Experience: Strong knowledge of Python is a must. Ideally comfortable with LangChain, pandas and other GenAI related python libraries
• Technical Expertise: Strong hands-on skills in AI & ML service development, end-to-end product engineering, and data analytics. Experience with GenAI and cloud technologies
• Product & Customer Orientation: Ability to translate business and customer problems into technical solutions, and to iterate based on user feedback and data
• Communication: Exceptional communication skills, with the ability to collaborate with cross-functional teams
• Strategic & Analytical Thinking: Strong problem-solving and decision-making abilities, with a strategic mindset and a passion for driving product vision and business outcomes through technology
• Fast-Paced Environment: Experience thriving in dynamic, fast-paced environments, preferably within SaaS or technology-driven companies focused on customer and product innovation

Qualifications

Must Haves

• Education: Bachelor's, Master's, or higher degree in Computer Science, Engineering, or related fields
• Experience: 2–4 years of industry experience in data science, machine learning, or applied AI (or 1–2 years with an advanced degree), with experience contributing to production systems or product features
• Coding Experience: Strong knowledge of Python is a must. Ideally comfortable with LangChain, pandas and other GenAI related python libraries
• Technical Expertise: Strong hands-on skills in AI & ML service development, end-to-end product engineering, and data analytics. Experience with GenAI and cloud technologies
• Product & Customer Orientation: Ability to translate business and customer problems into technical solutions, and to iterate based on user feedback and data
• Communication: Exceptional communication skills, with the ability to collaborate with cross-functional teams
• Strategic & Analytical Thinking: Strong problem-solving and decision-making abilities, with a strategic mindset and a passion for driving product vision and business outcomes through technology
• Fast-Paced Environment: Experience thriving in dynamic, fast-paced environments, preferably within SaaS or technology-driven companies focused on customer and product innovation

Benefits

• Seismic's incentive plans