Senior Data Scientist

Make; Madrid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading platform is looking for a Senior Data Scientist to enhance its data science discipline, focusing on deploying machine learning and analytics solutions that impact user experience and business operations. The position offers an opportunity to work cross-functionally while shaping future automation projects.

Servicios

RSUs grant

Learning & Development plan

25 days of vacation

Flexible working hours

Meal and transportation tickets

Medical insurance

Team buildings and events

10 care days

34'' curved monitor

Formación

• 6+ years of experience in data science, analytics, or machine learning.
• Proven experience deploying machine learning models in a business context.
• Ability to lead projects from inception to delivery.

Responsabilidades

• Lead end-to-end data science projects.
• Develop and deploy machine learning models that drive business value.
• Identify opportunities for data-driven solutions.

Conocimientos

Project Management

Python

SQL

Statistical Modeling

Predictive Analytics

Machine Learning

Communication

Herramientas

scikit-learn

TensorFlow

PyTorch

Descripción del empleo

Make is the leading visual platform for anyone to design, build, and automate anything—from tasks and workflows to apps and systems—without the need for coding skills. We are headquartered in the flourishing tech hub of Prague, Czech Republic, and our teams are spread across the USA, UK, Germany, France, Canada, India and Chile, among other locations.

We are seeking a dynamic and experienced Senior Data Scientist to join our team. This is an exciting opportunity to build and shape the data science discipline at Make. You will drive the development and deployment of machine learning models and advanced analytics solutions that enhance our platform, improve business operations, and deliver value to our users.

As a Senior Data Scientist , you will lead end-to-end data science projects, from problem definition and data exploration to model development, deployment, and continuous optimization. You will collaborate closely with business stakeholders from product and engineering, to sales and marketing, and have the opportunity to work on impactful projects that shape the future of automation and AI-powered workflows.

If you are passionate about data science, enjoy working in a fast-paced environment, and want to make a tangible impact, we’d love to hear from you!

Responsibilities :

• Develop and deploy machine learning models that drive business value and enhance user experience.
• Lead end-to-end data science projects, from scoping and exploration to implementation and monitoring.
• Build and shape the data science discipline within Make, defining best practices, methodologies, and tools.
• Identify opportunities for data-driven solutions by working closely with stakeholders across the company.
• Design, implement, and optimize predictive and prescriptive analytics to support business decisions.
• Collaborate with data engineers and analysts to ensure data quality, accessibility, and efficiency in model deployment.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Drive innovation in automation and AI applications, leveraging Make’s platform capabilities.

What we expect :

• 6+ years of business experience in data science, analytics, or machine learning roles.
• Proven experience deploying machine learning models in a business environment, with a focus on impact and scalability.
• Strong project management skills, with the ability to manage multiple data science projects from inception to delivery.
• Deep understanding of data science methodologies and business problem-solving, including statistical modeling, predictive analytics, and experimentation.
• Excellent Python and SQL skills, with experience using ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and data visualization tools.
• Ability to operate independently and proactively, with a strong sense of ownership and initiative.
• Strong communication skills, with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders
• Experience working in SaaS or with building and deploying LLMs a plus.

What we offer :

• RSUs grant in a rapidly growing company raising its value every day
• Multinational team with 42 nationalities creating the future of automation
• Learning & Development plan (online language, professional courses, conference tickets and other trainings) & 2 Company Learning Days per year
• 3 Company Impact Days per year
• Notebook / Macbook and 34’’ curved monitor
• 25 days of vacation, 4 sick days
• 10 care days to care for your loved ones
• RSUs grant for a newborn child
• Meal and transportation tickets, medical insurance
• Team buildings, parties, and company events multiple times a year
• Flexible working hours + home office

If you see a match, let us know and apply now!

careeratmake

What we stand for :

We roll together - We embrace different ideas to grow together and create powerful solutions.

Customer impact first - We empower our customers to succeed, aiming for sustainable impact.

Game on! - We're explorers at heart : play is our fuel and creativity has no limits.

Make is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race / ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws. As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations. Different makes us better.

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