Senior Data Scientist

MINT is the world leader in Advertising Resource Management (ARM) software and the digital transformation partner that enables the agentic marketing model of the future.

With a global presence in Europe and the Americas, MINT boasts a diverse team of over 300 professionals that drive innovation and operational excellence worldwide, enabling organizations to achieve long-term advertising success and sustained financial growth.

Thanks to our open enterprise IT solution, we empower global brands and agencies to cut costs, improve campaign outcomes, and maximize profitability through our three-layered platform based on digitalized workflows, advanced data and taxonomies, and a powerful agentic layer.

The Role

We’re looking for a Senior Data Scientist to take ownership of a cutting-edge agentic AI suite for full cycle media operations, from media planning, activation to financial reconciliation.

Your job will focus on designing, developing and deploying end-to-end data initiatives - from data ingestion to data presentation, from proof of concept to production. In this role, you'll have the opportunity to shape product direction, lead technical development, and mentor others.

You’ll work remotely with talented peers across 10+ countries and three continents. We value autonomy, proactivity, solution focused mindset and collaboration in a flexible and mostly asynchronous environment.

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects.

Responsibilities

• Lead the design, development, and deployment of data science solutions, from exploration to production
• Work closely with product, engineering and solution consultants’ teams to translate business challenges into scalable data products
• Develop, evaluate, and deploy machine learning models and data pipelines for real-world applications
• Explore and integrate new technologies such as LLMs, MCP/A2 and AI agents to enhance our products
• Explore building a standalone agentic workforce for media operations
• Ensure data quality and integrity across multiple sources and processing stages
• Communicate findings and insights clearly to technical and non-technical stakeholders
• Assist in identifying and implementing SOTA and emerging AI/ML techniques
• Mentor and guide junior data scientists, fostering best practices and continuous learning
• Contribute to team-wide technical decisions, planning, and long-term strategy

This role will be a great fit if you have:

• 5+ years of experience in Data Science, with a solid foundation in statistics and machine learning
• Advanced proficiency in Python (and its core data/ML libraries) and SQL
• Proven track record of delivering production-grade data and machine learning solutions
• Hands-on experience with ETL processes, large datasets (1M+ rows), and data cleaning and validation
• Experience with large language models (LLMs) and frameworks such as LlamaIndex or LangChain
• Ability to design and customize AI agents using RAG and similar techniques
• Familiarity with AWS or another major cloud platform
• Experience working with time-series forecasting, recommender systems, NLP, or optimization problems
• Strong communication and presentation skills, with the ability to bridge technical and non-technical perspectives
• Self-driven and comfortable leading projects independently in a remote setup

We would also appreciate:

• Familiarity with Docker or Kubernetes, CI/CD pipelines, monitoring tools, and Git
• Previous experience with setting up MCP/A2 integrations is desired but not required
• Previous experience mentoring or leading other data scientists or engineers
• Background or interest in the advertising or marketing technology space

Interview Process

Candidates can expect the following steps in our interview process:

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background.
• Technical Interview with Head of Engineering (1 hour): A virtual interview with the Head of Engineering focused on your technical expertise, past experience, and problem-solving approach.
• Interview with the CPTO (45 minutes): Ideally conducted in person, this session will serve as a high-level discussion to align on technical vision and product approach.
• Offer: after completing the interview process, successful candidates will receive an offer.

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.