Job Description

About the Role

We are seeking a pragmatic, proactive Senior Data Scientist to join our team. In this role, technical mastery is only half the equation - the real priority is translating data science into measurable business value. You will partner closely with business leaders to identify high-impact opportunities, select the right tool for the job (whether a simple logic rule or a complex machine learning model), and independently drive solutions from concept to production.

If you are a self-starter who thrives on autonomy, prioritizes tangible business outcomes over technical complexity for its own sake, and enjoys shaping the data science discipline, we want to hear from you.

Key Responsibilities

• Drive Business Value: Partner directly with business stakeholders across Product, Engineering, Sales, and Marketing to identify opportunities and deliver measurable ROI through data science.
• Pragmatic Problem Solving: Select and apply the right solution for the problem- prioritizing speed, simplicity, and practical business impact whether the optimal approach is simple heuristics or advanced machine learning.
• End-to-End Ownership: Independently lead data science projects from initial scoping and data exploration through to deployment, monitoring, and value realization.
• Model Development & Deployment: Build, validate, and maintain scalable analytics and machine learning solutions designed for real-world impact.
• Shape the Discipline: Define best practices, methodologies, and tool selection strategy to build a mature, practical data science function at Make.
• Cross-Functional Communication: Bridge the gap between technical rigor and business execution, translating complex models into clear, actionable insights for non-technical stakeholders.

What You'll Bring

• Business-First Mindset: 6+ years of experience in data science or analytics, with a proven track record of driving direct business outcomes.
• Pragmatic Approach: Strong technical foundations paired with the judgment to choose simple, practical tools over complex frameworks when appropriate.
• High Autonomy: Ability to operate independently, proactively identify business gaps, and drive projects through to completion with minimal direction.
• Technical Proficiency: Expertise in Python, SQL, and core ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), with practical experience putting models into production.
• Stakeholder Partnership: Ability to collaborate effectively with business units, build strong working relationships, and advocate for value-driven data solutions.
• Nice-to-Haves: Experience in SaaS environments or building and deploying LLMs and generative AI workflows.

What we offer:

• 📈 RSUs grant in a rapidly growing company raising its value every day
• 💸 Annual bonus
• 🌎 Multinational team creating the future of automation
• 🎓 Learning & Development plan (online language & professional courses, conference tickets and other trainings)
• 🍎 Notebook/Macbook and 34’’ curved monitor, access to a company 3D printer
• 🦒 Height adjustable office desk
• 🏝 25 days of vacation, 4 sick days
• 🫶 10 care days
• 👨‍👩‍👧‍👦 Extra parental vacation (3-6 months)
• 👶 RSUs grant for a newborn child
• ☂️ Life insurance
• 🏋️ Multisport card
• 💰 Remote working allowance
• 🍍 Snack bar, coffee, tea, fruits and vegetables, 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 office (dog-friendly office)
• 🥳 Team buildings, parties, and company events multiple times a year

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

#LI-DP2