eCommmerce Data Scientist

TVH

TVH is a global leader in the supply of quality parts and accessories for a range of equipment. The company fosters a culture centered around innovation and people. The eCommerce Data Science team at TVH employs cutting-edge technologies to provide impactful solutions, and they are currently seeking a talented data scientist with a passion for data-driven innovations.

In this role you can expect to have the responsibilities:

• Conduct data analysis to derive insights for business decisions.
• Design, develop, and implement scalable machine learning models.
• Collaborate with data scientists to use GenAI for customer experience enhancement.
• Work with cross-functional teams for integrating ML models into production.
• Stay current with data science advancements to refine practices.
• Develop personalized product recommender systems and optimize ranking algorithms.
• Address incoming machine learning requests as needed.

This role comes with the following benefits:

• Medical, dental, and vision insurance.
• Onsite health clinic and a 401(k) match.
• On-site preschool, restaurant, and recreational facilities.
• Hybrid work schedule.
• Professional development opportunities including LinkedIn Learning.

This role requires you to have:

• Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Over 2 years of experience in data science roles.
• Expertise in deploying and building machine learning models.
• Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with Google Cloud Platform services such as BigQuery and Vertex AI.
• Strong communication skills and ability to work independently and collaboratively.

You would benefit from having:

• Experience in developing Generative AI solutions.
• Interest in recommender systems and search algorithm optimization.

TVH is committed to a diverse and inclusive work environment, ensuring equal opportunity for all employees without discrimination based on race, religion, gender, or age.