Senior Data Scientist & Team Lead

Join and lead Fractorys Data Team

Location: Flexible (Tartu or Tallinn preferred)

Type: Full-time

Fractory is at the forefront of revolutionizing manufacturing with data-driven solutions. Our platform connects companies with production capacity automating quoting optimizing supply chains and driving efficiencies.
We are looking for a Senior Data Scientist & Team Lead to join our growing Data & Analytics team. This role combines deep technical data science expertise with strong business ownership and leadership responsibilities. You will lead a small team working on impactful projects with a strong focus on pricing automation and workflow automation two key levers for Fractorys growth.

Hands-On Technical Contributor

This is not a purely managerial roleapproximately 60-70% of your time will be spent on technical work. Youll be knee-deep in data building models pipelines and tools that have real impact across our business.

Independent Leader with Ownership

Were looking for a proactive self-starter who is comfortable taking ownership and driving initiatives forward. In a small team versatility is keyyou should enjoy switching between different types of work.

The Role

• Lead Data Science Projects
  Take ownership of impactful data science and machine learning solutions that drive business growth. Work closely with product engineering and business teams.
• Mentor and Grow Your Team
  Lead and coach a talented team of scientists and analysts helping them grow while pushing the teams performance and collaboration.
• Data-Driven Decisions
  Ensure decisions are based on KPIs. Lead the creation and prioritization of data-driven opportunities and stop non-impactful work.
• Optimize Processes
  Help drive our teams and platforms efficiency by identifying areas to streamline and scale.
• Cross-Team Collaboration
  Work closely with other teams to align data-driven insights with business needs.
• Constant Learning
  Stay current with the latest trends in data science machine learning and manufacturing technologies.
  

What Were Looking For

• Hands-on Data Expertise
  You have strong data science machine learning and statistical analysis skills. You know how to implement these in production environments.
• Leadership & Mentorship
  Youve led teams mentoring and motivating them to perform at their best.
• Problem Solving
  You break down complex problems into manageable solutions that balance efficiency and impact.
• Collaboration
  You work well with diverse teams aligning efforts and ensuring smooth communication.
• KPIs & Business Focus
  You prioritize work based on data insights setting and using KPIs to make strategic decisions.
• Tech-Savvy
  Expertise in Python R SQL. Experience with MLOps cloud platforms and CI/CD pipelines is a plus.
• Passion for Learning
  Youre always learning improving and curious about new technologies and methods.
  

You will stand out

• Experience in B2B platforms or supply chain data.
• Interest in mechanical engineering or 3D modeling.

What we offer

• A chance to make a real business impact with your work not just ship models into a vacuum.
• A collaborative and supportive team that values outcomes over egos.
• Competitive salary and benefits
• Flexible working arrangements
• Benefits like

Confido Health Insurance - dental care mental health Optics etc
Stebby sports compensation
Biweekly office lunches

Hiring Process

1. Application Review
   Well review your application and get back to you within a week.
2. 30-Minute Video Call with Recruiter
   A quick chat with a recruiter to discuss your experience the role and assess cultural fit.
3. 30-Minute Video Call with CTO
   Discuss the role in more detail your experience and how youd fit into the team.
4. Office Meet-Up with Senior Data Engineers
   Engage in a technical task and a technical discussion to evaluate your skills and approach.
5. 1-Hour Call with CTO
   This is your chance to ask any remaining questions and for us to finalize the evaluation of your fit.
6. Final Decision
   Well inform you of the outcome and next steps.