Senior Staff, Applied Science

Responsibilities

• Architect and execute the strategic vision for applied AI and Machine Learning to align with business objectives.
• Steer the R&D roadmap by identifying emergent technological opportunities and implementing novel solutions.
• Serve as the principal technical liaison between the R&D organization and executive stakeholders.
• Lead cross-functional collaborations with product and engineering teams to integrate ML systems into core products.
• Mentor applied scientists and cultivate a culture of scientific rigor and innovation.
• Establish frameworks for model evaluation and quantify the business impact of AI initiatives.
• Govern best practices for the machine learning lifecycle, including deployment, monitoring, and ethical AI.

Requirements

• Ph.D. or M.S. in a quantitative discipline such as Computer Science, Statistics, or Physics.
• 11-14 years of post-academic experience in applied science or quantitative research roles.
• Deep expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI.
• Expert-level proficiency with frameworks such as TensorFlow, Keras, or PyTorch.
• Advanced programming skills in Python and mastery of SQL.
• Demonstrated experience with Large Language Models (LLMs) and prompt engineering.
• Practical knowledge of Computer Vision and Natural Language Processing (NLP) methodologies.
• Proven track record of translating complex models into tangible business value.

Preferred Qualifications

• Domain expertise in the automotive industry, finance, or enterprise SaaS.
• Experience with specialized areas such as Recommendation Engines.
• Familiarity with distributed computing frameworks like Spark.
• Proficiency with cloud computing platforms (GCP, Azure, or AWS).

About the Company

Tekion is positively disrupting the automotive industry with the first and fastest cloud-native automotive platform. By leveraging cutting-edge technology, big data, and AI, Tekion connects the entire automotive retail ecosystem—including OEMs, retailers, and consumers—through a seamless, integrated platform. With nearly 3,000 employees worldwide, we are a global team of innovators dedicated to solving complex, high-impact challenges.