Senior Data Scientist at Make

This is an exciting opportunity for a Senior Data Scientist to join Make and help shape the data science discipline within the company. The Senior Data Scientist will be responsible for driving the development and deployment of machine-learning models and advanced analytics solutions to enhance the platform, improve business operations, and deliver value to users.

The Senior Data Scientist will lead end-to-end data science projects, collaborating with stakeholders from product and engineering to sales and marketing. The Senior Data Scientist will work on impactful projects that shape the future of automation and AI-powered workflows.

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.

Requirements:

• 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.
• Fluent verbal & written English

What Make offers:

• RSUs grant in a rapidly growing company.
• Annual bonus
• Multinational team with 42 nationalities
• Learning & Development plan
• 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, company day off on 31st December
• 10 care days to care for your loved ones
• Extra parental vacation (3-6 months)
• RSUs grant for a newborn child
• Life insurance
• Benefit Plus Cafeteria (incl. MultiSport Card)
• Remote working allowance
• Snack bar, coffee, tea, fruit and vegetable, and sweets all day - every day - available for everyone
• Monday breakfast, Wednesday lunch, and Friday break, with company-provided food and drinks, with music and lively discussion
• Flexible working hours + home office
• Company therapy pets in Prague's office (dog-friendly office)
• Company 3D printer
• Team buildings, parties, and company events multiple times a year