Senior Data Scientist (m/f/x)

Who You’ll Work For:

Makersite is an award-winning data software company that empowers teams to manage product sustainability, cost, and compliance; simultaneously, from a web browser. Our mission is to help manufacturing companies make better decisions and create safer, more sustainable products through data-driven analysis. We believe that technology can help corporations to have a more positive impact on their environment. That is why we developed a platform that uses cutting edge technology, big data, and breakthrough algorithms to deliver product intelligence unlike anything on the market.

For manufacturing companies with complex supply chains that want to accelerate product development, build resilience or reduce costs, Makersite is a disruptive digital twin platform that uses AI to connect and enrich cross-departmental data into live models for analysis, collaboration and decision support. Digital twins can be used to understand how externalities like regulations, supply shortages etc. affect a business and help teams evaluate scenarios taking into account multiple criteria like costs, environment, compliance etc. at the same time.

Who We’re Looking For:

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. The
ideal candidate will have extensive experience in optimizing pipelines for training and delivering
customer-specific AI models, extracting data for training models, and utilizing extracted data for
large language models (LLMs). You will play a key role in accelerating our AI strategy, contextualizing
customer information from ERP and PLM systems, and leveraging third-party/external databases to
generate supply chain models.

What You’ll Do:

• Pipeline Optimization: Develop and optimize data pipelines for training and delivering
  customer-specific AI models, ensuring efficiency and scalability.
• Data Extraction: Extract and prepare data for training models, with a focus on quality and
  relevance for LLMs and other AI applications.
• AI Strategy: Contribute to and accelerate Makersite’s AI strategy by integrating advanced AI
  techniques and models.
• Contextualization: Contextualize and interpret customer information from ERP and PLM
  systems to enhance data-driven insights.
• Third-Party Data Utilization: Leverage external databases, including sector-specific
  databases, to enrich supply chain models and enhance data accuracy.
• Team Leadership: Provide leadership and mentorship to the data science team, fostering a
  collaborative and innovative work environment.
• Customer-Specific AI: Develop standardized vanilla AI models as well as tailor customer-specific
  AI solutions, addressing data quality and gaps.

The Right Person Would Have:

• Education: Advanced degree in Data Science, Computer Science, Statistics, or a related field.
  Experience: Minimum of 5-7 years of experience in data science or a related field, with a
  focus on AI and machine learning.
• Technical Skills: Proficiency in Python, R, SQL, and relevant data science libraries and
  frameworks.
• ERP/PLM Systems: Experience with ERP and PLM systems, and the ability to contextualize
  and utilize data from these systems.
• Database Knowledge: Familiarity with third-party and sector-specific databases, and
  experience in integrating these into data models.
• Leadership: Proven track record of leading data science projects.
• Problem-solving: Strong analytical and problem-solving skills, with the ability to work with
  complex and unstructured data.

What You Can Expect from Us:

• Belonging - Be part of the sustainability megatrend
• Development – a steep learning curve, both personally and professionally
• Pride - Do amazing work with an international, vibrant, and passionate top-class team
• Passion - International customers who love what we do and share our vision
• Remote Working - Work 100% remotely if you like
• Values-driven culture - we're proud of our culture.
• Time-Off - 30 days of paid time off per year.
• Technology – State-of-the-art equipment.
• Competitive salary

What to Expect when you apply:

If this sounds like something that excites you, we want to hear from you! We look forward to receiving your detailed CV together with a cover letter. If it’s a match, we’ll invite you to a series of interviews.

We try to keep the process short and sweet, to welcome you at Makersite as soon as possible!

Support – If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to beat at your best – please let us know so we can talk about how we can best support you and make any adjustments that may be needed

So, what does it mean to work at Makersite?

At Makersite, we come together with a shared purpose to help companies worldwide improve their products, so they are more successful while being mindful of their customers and the environment. Therefore, we believe everyone deserves to work in a collaborative, open-minded, and inspiring environment. We work hard to ensure everyone has the support they need to thrive. Our 3 core values are diversity, purpose, and collaboration:

• We believe that good ideas come from anywhere. We embrace diversity and look for team members who have different skills but similar values.
• We want to make a significant impact on the take, make, the waste economy of today. We believe that technology can provide solutions that enable this and work hard to make our ideas a reality.
• No politics, no drama, no slacking. We believe in technology-enabled collaboration. Whether you are working remotely or in our offices, you will always find someone to help you.

Equal Opportunity Statement

At Makersite, we're committed to cultivating an environment that promotes diversity, equity, inclusion, and belonging. We believe that diverse teams are the best and are proud to be an equal opportunities employer. We welcome and will consider all applications regardless of age, disability, gender reassignment, marriage, pregnancy, maternity, race or nationality, religion or belief, sex, and sexual orientation (and any other status protected by applicable law).

All applications will be treated in strictest confidence.