Technology, Information and Internet

Vanilla Steel

11-50

Germany

We are a Berlin-based startup that has successfully established a leading B2B marketplace for industrial metal trading across Europe. 

The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. We are on a mission to transform buying and selling in one of the oldest industries of the modern world with seamless and intuitive digital solutions. Our technologies increase liquidity, accelerate transactions, reduce scrapping rates and enhance buying convenience for hundreds of steel and metal distributors across Europe.

**The Opportunity**

Join our VC-backed company during this exciting phase of growth. We are creating a Data Team to oversee data analysis, engineering, and science. As a Data Scientist, you'll support our data-centric approach to spot trading opportunities based on inventory data and buyer preferences, with direct impact on our top-line.

This position is based full-time in our vibrant Berlin office. We believe that working together in a dynamic office setting fosters collaboration and accelerates the growth of our ambitious startup.

## Tasks

*   Develop models and algorithms to aggregate, clean, structure and standardize supplier inventory data from various data sources and formats including Excel, PDF, ERP and unstructured natural language.
*   Develop material recommendation algorithms based on live material inventory, purchase behavior and buying preferences.
*   Evaluate algorithm performance to identify improvement opportunities.
*   Push new ideas into the design and concept funnel while keeping business priorities, trade-offs, and technical feasibility in mind.
*   Design and analyze large-scale A/B tests to continuously improve and iterate algorithm performance.
*   Create, develop, and maintain metrics on dashboards to measure algorithm performance and the value generated for our customers and for the company.
*   Proactively communicate, share your conclusions, and explain complex topics tailored to diverse audiences.

## Requirements

*   At least 2 years of experience working in data science or machine learning or statistical modeling
*   A degree in computer science, mathematics, statistics or another quantitative discipline
*   An exceptional understanding of data analysis tools, techniques and limitations, statistics concepts, and A/B testing
*   Experience applying theoretical models in an applied environment
*   Experience working with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. Matlab)
*   Excellent communication skills (both verbal and written) and confidence in presenting ideas and findings to stakeholders with the right level of detail
*   Ability to work well independently, understand data science fundamentals, be meticulous, and prioritize effectively

Nice-to-Haves:

*   AI Systems: Exposure to AI in a professional environment or at least in your free time 
*   Technical Skills: Professional exposure to TensorFlow, PyTorch, Keras or other AI/ML librariesCloud Experience: Experience with using AI models on AWS or GCP

## Benefits

*   Ownership of projects with a focus on outcomes rather than time-tracking.
*   Fast-paced yet collaborative culture fostering individual performance and teamwork.
*   Competitive compensation based on experience
*   Home office Tuesdays
*   Beautiful office located in the heart of Prenzlauer Berg, Berlin
*   Friday drinks on us!

Employee

Professional / Experienced

<p>We are a Berlin-based startup that has successfully established a leading B2B marketplace for industrial metal trading across Europe. </p>
<p>The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. We are on a mission to transform buying and selling in one of the oldest industries of the modern world with seamless and intuitive digital solutions. Our technologies increase liquidity, accelerate transactions, reduce scrapping rates and enhance buying convenience for hundreds of steel and metal distributors across Europe.</p>
<p><strong>The Opportunity</strong></p>
<p>Join our VC-backed company during this exciting phase of growth. We are creating a Data Team to oversee data analysis, engineering, and science. As a Data Scientist, you&#39;ll support our data-centric approach to spot trading opportunities based on inventory data and buyer preferences, with direct impact on our top-line.</p>
<p>This position is based full-time in our vibrant Berlin office. We believe that working together in a dynamic office setting fosters collaboration and accelerates the growth of our ambitious startup.</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Develop models and algorithms to aggregate, clean, structure and standardize supplier inventory data from various data sources and formats including Excel, PDF, ERP and unstructured natural language.</li>
<li>Develop material recommendation algorithms based on live material inventory, purchase behavior and buying preferences.</li>
<li>Evaluate algorithm performance to identify improvement opportunities.</li>
<li>Push new ideas into the design and concept funnel while keeping business priorities, trade-offs, and technical feasibility in mind.</li>
<li>Design and analyze large-scale A/B tests to continuously improve and iterate algorithm performance.</li>
<li>Create, develop, and maintain metrics on dashboards to measure algorithm performance and the value generated for our customers and for the company.</li>
<li>Proactively communicate, share your conclusions, and explain complex topics tailored to diverse audiences.</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>At least 2 years of experience working in data science or machine learning or statistical modeling</li>
<li>A degree in computer science, mathematics, statistics or another quantitative discipline</li>
<li>An exceptional understanding of data analysis tools, techniques and limitations, statistics concepts, and A/B testing</li>
<li>Experience applying theoretical models in an applied environment</li>
<li>Experience working with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. Matlab)</li>
<li>Excellent communication skills (both verbal and written) and confidence in presenting ideas and findings to stakeholders with the right level of detail</li>
<li>Ability to work well independently, understand data science fundamentals, be meticulous, and prioritize effectively</li>
</ul>
<p>Nice-to-Haves:</p>
<ul>
<li>AI Systems: Exposure to AI in a professional environment or at least in your free time </li>
<li>Technical Skills: Professional exposure to TensorFlow, PyTorch, Keras or other AI/ML librariesCloud Experience: Experience with using AI models on AWS or GCP</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Ownership of projects with a focus on outcomes rather than time-tracking.</li>
<li>Fast-paced yet collaborative culture fostering individual performance and teamwork.</li>
<li>Competitive compensation based on experience</li>
<li>Home office Tuesdays</li>
<li>Beautiful office located in the heart of Prenzlauer Berg, Berlin</li>
<li>Friday drinks on us!</li>
</ul>


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