Senior Data Scientist

Passionate about food? Eager to join a dynamic SaaS startup shaping the food and beverage industry? Tastewise is just the place for you.

Tastewise: The GenAI-powered consumer data platform revolutionizing product strategies and driving success for major brands like Nestle, Pepsi, and Campbell’s. With insights from billions of data points, we empower our clients to create, market, and sell their products faster and more successfully.

Join this $10 trillion industry, where creativity and an entrepreneurial mindset drive daily success and reach the homes of billions of people in an industry where change isn't just a recipe but a way of life.

Let's shape the future of food together.

Why Tastewise?

• Be part of a unique and innovative startup transforming the food and beverage industry.
• Work with cutting-edge technologies and diverse data sources, including texts, images, videos, social media signals, recipes, menus, and retail store data.
• Enjoy continuous learning and personal development.
• Benefit from a collaborative and inclusive work environment.
• See your models reach production and influence major business decisions made by our clients.
• Join a successful startup with a client list that includes the biggest food and beverage brands.
  
  

About the role:

Job Description:

We are seeking an ambitious Senior Data Scientist with a strong background in machine learning, deep learning, and generative AI to join our innovative team. You will work with diverse types of data and help design and optimize data pipelines that process large-scale datasets regularly. Your work will have a direct impact on our product, driving key decisions and influencing its evolution.

Our team is made up of smart, experienced, ambitious, and fun people, and we thrive on collaboration, innovation, and delivering results. We value creativity and technical excellence and aim for a balance between cutting-edge technology and real-world business needs.

Responsibilities:

• Work on both the data science and engineering aspects of projects
• Develop and deploy AI models and algorithms for real-world applications
• Research and identify solutions for complex, business-critical problems
• Communicate technical concepts effectively to both technical and non-technical stakeholders
• Lead projects from conception through to production, ensuring timely delivery
• Encourage creative thinking and nurture innovative ideas within the team
• Foster collaboration and alignment between different departments
  
  

Requirements:

Requirements:

• 7+ years of industry experience in data science or machine learning roles
• Strong theoretical and practical knowledge of deep learning algorithms
• Proven experience developing and deploying end-to-end AI solutions in production environments
• Proficiency in Python, particularly in production environments
• Experience working with Large Language Models (LLMs)
• Familiarity with cloud services and containerization technologies like Docker
• Excellent communication skills, both written and verbal
• High level of English proficiency
• Ambitious, business-oriented mindset with a focus on delivering results
  
  

Preferred Qualifications:

• Experience with MLOps principles and practices for scalable AI solutions
• Experience working with AI Agents and Prompt Optimization
• Proficiency in the data engineering side of AI projects, including building and maintaining data pipelines
• Participation in meetups, conferences, or other industry-related events is an advantage