Senior Applied Scientist

Tekion

Bangalore, IN
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 06/11/2025
  • Website: tekion.com
  • Company Address: 5934 Gibraltar Dr, Pleasanton, California 94588, US

About Tekion

At Tekion, we are on a mission to build the world’s best applications. We aim to deliver solutions that are delightful to use, yet powerful enough to efficiently run global businesses. Starting with automotive retail, we are incorporating cutting-edge technologies to accelerate the transition of complex (and simple) businesses to the cloud and enable seamless consumer experiences.

Job Description

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:

  • Masters, PhD in Data Science, Mathematics, Operations Research or related field.
  • The right candidate has a background in probability and statistics, applied mathematics, or computational science and a history of solving difficult problems with good business impact using a scientific approach.
  • Experience working with ML algorithms and frameworks.
  • Significant experience in Data Science and Machine Learning with a strong proven track record in delivering positive business impact.
  • 0-12 months of hands-on experience with analytics, data science and big data experience in a business context.
  • Experience in programming in Python or similar languages and maintaining code repositories in git.
  • Experience with data visualization and presentation, turning complex analysis into insights.

Preferred qualifications:

  • Experience in Recommendation Engine, Natural Language Processing.
  • Domain knowledge of automotive industry.
  • Enjoys discovering and solving problems; proactively seeking clarification of requirements and direction; being a self-starter who takes responsibility when required.
  • Strong interpersonal, verbal, visual and presentation skills, ability to communicate complex findings in a simple manner to executives.
  • Ability to work collaboratively across multiple products and application teams.
  • A willingness to learn, share and improve.

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.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.