Data Scientist

Data Scientist-Portugal

Remote but must live in Portugal

About Tillster

Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self-service, ordering, and payments solutions.

We offer one platform: one scalable, enterprise class solution – to create world-class digital engagement solutions.

Our mission and passion are one in the same: Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device.

Are you a passionate data scientist with a knack for data?

Job Description:

We are seeking an experienced and highly skilled Data Scientist with a strong background in MLOps and Artificial Intelligence (AI).

The ideal candidate will have hands-on expertise in the end-to-end lifecycle of machine learning models – from development to monitoring and optimization.

You will work closely with cross-functional teams, including engineering, data, and product, to integrate AI-powered models into broader software platforms.

A key focus will be on enhancing and maintaining our Recommender System.

Responsibilities:

- Drive the design, development, and deployment of machine learning models, emphasizing the Recommender System.

- Collaborate with data engineers and ML engineers to implement MLOps best practices.

- Oversee the operationalization of models, including real-time predictions and retraining pipelines.

- Monitor model performance post-deployment, implementing metrics and alerts.

- Build and maintain CI/CD pipelines to ensure models are rapidly and reliably updated in production.

- Ensure the model serving infrastructure is optimized for performance.

- Work closely with product managers and stakeholders to define ML model objectives.

- Implement automated testing, validation, and documentation of models.

- Act as a key technical advisor on AI and ML initiatives.

- Use Large Language Models (LLMs), such as Gemini, to enhance platform features.

- Work collaboratively with cross-functional teams.

Required Skills:

- Bachelor’s or Master’s degree in a quantitative discipline such as Data Science, Computer Science, Engineering, or a related field.

- 5+ years of experience as a Data Scientist, with at least 2+ years in MLOps.

- Proven expertise in deploying machine learning models for large-scale production.

- Hands-on experience with MLOps tools such as Airflow.

- Proficiency in Python for deep learning model development.

- Proven experience with Deep Learning and Reinforcement Learning.

- Experience with NoSQL databases (e.g., MongoDB) and JSON.

- Experience working with Recommender Systems.

- Strong knowledge of containerization and orchestration tools such as Docker and Kubernetes.

- Experience working with LLMs, such as Gemini or ChatGPT-4.

- Strong teamwork and collaboration skills.

Nice to have:

- Experience with multi-tenant ML platforms.

- Familiarity with DevOps and cloud infrastructure.

- Experience working with NLP or computer vision models.

Thriving at Tillster

As a member of Tillster, you will embody our core values:

- Put Customers First: Prioritize the needs and satisfaction of our customers.

- Collaborate: Work together effectively, leveraging diverse perspectives.

- Innovate: Embrace creativity and pursue new ideas.

- Operate from Data: Use strong critical thinking skills.

- Drive Results: Focus on achieving tangible outcomes.

- Own It: Take responsibility for your actions.

- Be Passionate and Have Fun: Bring enthusiasm to your work.

The Interview Process

- Recruiter interview with a Talent Acquisition Specialist.

- Final interview with our Data Science Team Leader.

Pay and Benefits (PORTUGAL)

- Compensation competitive to market and geographical location DOE.

- Meal allowance for each day worked available through meal card.

- Up to 20 federal and local/municipal holidays.

- Up to 22 days of vacation every holiday year.

- Tillster pays the premium for employee private health insurance.

Tillster is proudly an Equal Opportunity Employer

No Visa Sponsorship

Principals only – no Agencies or calls please