PAUL Tech AG

Building Equipment Contractors

51-200

Germany

__PAUL Tech AG__ is a technology leader in the real estate industry with the __mission__ to make buildings __carbon neutral__. Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. This __reduces CO2 emissions__ and __energy costs__. Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with the __common goal__ of developing intelligent solutions for buildings to __combat climate change__.

Therefore we are __looking for you__ to drive our scaling as

## (Senior) Data Scientist (m/f/d) in Berlin

## Core responsibilities

## Buiness Collaboration

* Partner and collaborate closely with business stakeholders to understand their strategies, needs, and objectives

## Data Integration

* Connect data from various sources, collaborating with Operations Managers and engineers to develop comprehensive data solutions

## Data Preparation

* Use statistical and analytical methods to comprehend the data and perform data cleansing and feature engineering to make the data fit for machine learning use case

## Modeling Expertise

* Strong understanding of building and evaluating regression models

Insight Communication

* Communicate the outcome in a compelling and accessible manner to support product development and decision-making

## The skillset we are looking for

* Experience in __data analysis__ and __machine learning__ (specifically regression or reinforcement learning) preferably within a business context
* Strong zeal for Data Crunching and __Wrangling__
* Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
* Proficiency in SQL and Python for data exploration and model building
* A proactive and __collaborative mindset__, with the ability to work effectively in cross-functional teams
* Strong analytical and problem-solving skills with the ability to articulate complex ideas
* A passion for learning, hands-on work, taking ownership, and making an impact

## Bonus points if you bring

* Experience in developing and implementing generative AI models and algorithms
* Familiarity with natural language processing (NLP) and computer vision for generative AI applications

## What you can expect from us

* A __meaningful job__ that contributes to global CO2 savings
* A __collegial__ working atmosphere with __short decision paths__
* A __permanent contract__ with an __above-average salary__
* __30 days vacation__ per calendar year plus 24.12. and 31.12. __off__
* Company __private health insurance__ and __supplementary pension__
* Company __fitness subsidy__ in your region
* Regular __company events__ to which you are very welcome
* __Tram ticket__ as well as drinks and fruit in our offices



Employee

<p><strong>PAUL Tech AG</strong> is a technology leader in the real estate industry with the <strong>mission</strong> to make buildings <strong>carbon neutral</strong>. Our proprietary technology, consisting of IoT-enabled hardware and AI-supported software, permanently optimizes water-bearing systems in buildings. This <strong>reduces CO2 emissions</strong> and <strong>energy costs</strong>. Everyone benefits: owners, operators, occupants and the climate. At Paul, we are researchers, developers and practitioners with the <strong>common goal</strong> of developing intelligent solutions for buildings to <strong>combat climate change</strong>.</p>
<p>Therefore we are <strong>looking for you</strong> to drive our scaling as</p>
<h2 id="senior-data-scientist-mfd-in-berlin">(Senior) Data Scientist (m/f/d) in Berlin</h2>
<h2 id="core-responsibilities">Core responsibilities</h2>
<h2 id="buiness-collaboration">Buiness Collaboration</h2>
<ul>
<li>Partner and collaborate closely with business stakeholders to understand their strategies, needs, and objectives</li>
</ul>
<h2 id="data-integration">Data Integration</h2>
<ul>
<li>Connect data from various sources, collaborating with Operations Managers and engineers to develop comprehensive data solutions</li>
</ul>
<h2 id="data-preparation">Data Preparation</h2>
<ul>
<li>Use statistical and analytical methods to comprehend the data and perform data cleansing and feature engineering to make the data fit for machine learning use case</li>
</ul>
<h2 id="modeling-expertise">Modeling Expertise</h2>
<ul>
<li>Strong understanding of building and evaluating regression models</li>
</ul>
<p>Insight Communication</p>
<ul>
<li>Communicate the outcome in a compelling and accessible manner to support product development and decision-making</li>
</ul>
<h2 id="the-skillset-we-are-looking-for">The skillset we are looking for</h2>
<ul>
<li>Experience in <strong>data analysis</strong> and <strong>machine learning</strong> (specifically regression or reinforcement learning) preferably within a business context</li>
<li>Strong zeal for Data Crunching and <strong>Wrangling</strong></li>
<li>Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators</li>
<li>Proficiency in SQL and Python for data exploration and model building</li>
<li>A proactive and <strong>collaborative mindset</strong>, with the ability to work effectively in cross-functional teams</li>
<li>Strong analytical and problem-solving skills with the ability to articulate complex ideas</li>
<li>A passion for learning, hands-on work, taking ownership, and making an impact</li>
</ul>
<h2 id="bonus-points-if-you-bring">Bonus points if you bring</h2>
<ul>
<li>Experience in developing and implementing generative AI models and algorithms</li>
<li>Familiarity with natural language processing (NLP) and computer vision for generative AI applications</li>
</ul>
<h2 id="what-you-can-expect-from-us">What you can expect from us</h2>
<ul>
<li>A <strong>meaningful job</strong> that contributes to global CO2 savings</li>
<li>A <strong>collegial</strong> working atmosphere with <strong>short decision paths</strong></li>
<li>A <strong>permanent contract</strong> with an <strong>above-average salary</strong></li>
<li><strong>30 days vacation</strong> per calendar year plus 24.12. and 31.12. <strong>off</strong></li>
<li>Company <strong>private health insurance</strong> and <strong>supplementary pension</strong></li>
<li>Company <strong>fitness subsidy</strong> in your region</li>
<li>Regular <strong>company events</strong> to which you are very welcome</li>
<li><strong>Tram ticket</strong> as well as drinks and fruit in our offices</li>
</ul>


(Senior) Data Scientist (m/f/d) 

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