Senior Data Scientist (m/f/x)

at  Makersite GmbH

Home Office, Nordrhein-Westfalen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate06 Oct, 2024Not Specified07 Jul, 20245 year(s) or aboveGood communication skillsNoNo
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Description:

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.

Responsibilities:

WHAT YOU’LL DO:

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

At Makersite, we come together with a shared purpose to help companies around the world 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 make sure 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


REQUIREMENT SUMMARY

Min:5.0Max:7.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Proficient

1

Home Office, Germany