Senior Staff, Applied Science

About Tekion :

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers / dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

Core responsibilities :

• Work directly with application / product teams to define, develop and implement the right ML solution for the problem at hand.
• Come up with new solutions for solving automotive industry business problems.
• Define the correct evaluation metrics for offline and online evaluation. Creating and tracking accuracy and performance metrics.
• Incorporating new data sources and implementing creative methodologies to improve model performance.
• Helping build production systems that take inputs from multiple models and support decision making.
• Should be equally comfortable with digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models.
• Should consistently bring strong, data-driven business and technical judgment to decisions.

Required Qualifications :

Preferred qualifications :

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

For more information on our privacy practices, please refer to our Applicant Privacy Notice here.

Skills Required

Data Science, Machine Learning, Recommendation Engine, Natural Language Processing, Data Visualization, Big Data, Python