NexWafe

Renewable Energy Semiconductor Manufacturing

51-200

Germany

For our location in Freiburg im Breisgau, we at NexWafe are looking for a Data Scientist (f/m/d).

Join NexWafe, where we're pioneering a streamlined process for silicon wafer production, leading to substantial cost, energy, and CO₂ savings. As a Data Scientist, actively contribute to the commercialization of this technology by aiding process development engineers in analyzing both experimental and production data. Utilize your comprehensive understanding of the process chain to make a meaningful impact.

Shape the future of renewable energy with us—explore career opportunities at NexWafe.

## Tasks

*   Analyze experimental and production data to extract valuable insights for process optimization utilizing machine learning and algorithm development to assess datasets effectively.
*   Support colleagues by providing and processing measurement data.
*   Procure, develop, and establish analysis methods, including equipment, software, and algorithms.
*   Provide advice on potential data analysis methods and their interpretation.
*   Identify discrepancies in process flows and recommend corrective actions.
*   Perform experiments and conduct thorough data analysis to contribute to process improvement.

## Requirements

*   Degree in natural sciences, engineering, computer science, data science or a comparable degree programme.
*   Proficient in data analysis, machine learning, and algorithm development.
*   Strong programming and visualization skills, with expertise e.g. in Python or R.
*   In-depth knowledge of statistical data analysis and machine learning techniques.
*   Demonstrated experience with diverse datasets.
*   Advantageous to possess knowledge in silicon photovoltaics or manufacturing.
*   Analytical mindset coupled with strong problem-solving skills.
*   Very good proficiency in English, both written and spoken.

## Benefits

*   A diverse team: Short decision-making processes, flat hierarchies and collaboration with experts from different areas await you.
*   A diverse and exciting job: A company that contributes to the commercialisation of environmentally friendly solar energy with a low carbon footprint.
*   Stability with a certain degree of flexibility: A permanent position with flexible working hours
*   Attractive remuneration programme: An attractive salary and profit-sharing for employees.
*   Healthy balance: Take your physical and mental health to the next level with a HanseFit membership!
*   Expand your language skills: Optimise your career prospects with the English and German courses offered.

Employee

Professional / Experienced

<p>For our location in Freiburg im Breisgau, we at NexWafe are looking for a Data Scientist (f/m/d).</p>
<p>Join NexWafe, where we&#39;re pioneering a streamlined process for silicon wafer production, leading to substantial cost, energy, and CO₂ savings. As a Data Scientist, actively contribute to the commercialization of this technology by aiding process development engineers in analyzing both experimental and production data. Utilize your comprehensive understanding of the process chain to make a meaningful impact.</p>
<p>Shape the future of renewable energy with us—explore career opportunities at NexWafe.</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Analyze experimental and production data to extract valuable insights for process optimization utilizing machine learning and algorithm development to assess datasets effectively.</li>
<li>Support colleagues by providing and processing measurement data.</li>
<li>Procure, develop, and establish analysis methods, including equipment, software, and algorithms.</li>
<li>Provide advice on potential data analysis methods and their interpretation.</li>
<li>Identify discrepancies in process flows and recommend corrective actions.</li>
<li>Perform experiments and conduct thorough data analysis to contribute to process improvement.</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>Degree in natural sciences, engineering, computer science, data science or a comparable degree programme.</li>
<li>Proficient in data analysis, machine learning, and algorithm development.</li>
<li>Strong programming and visualization skills, with expertise e.g. in Python or R.</li>
<li>In-depth knowledge of statistical data analysis and machine learning techniques.</li>
<li>Demonstrated experience with diverse datasets.</li>
<li>Advantageous to possess knowledge in silicon photovoltaics or manufacturing.</li>
<li>Analytical mindset coupled with strong problem-solving skills.</li>
<li>Very good proficiency in English, both written and spoken.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>A diverse team: Short decision-making processes, flat hierarchies and collaboration with experts from different areas await you.</li>
<li>A diverse and exciting job: A company that contributes to the commercialisation of environmentally friendly solar energy with a low carbon footprint.</li>
<li>Stability with a certain degree of flexibility: A permanent position with flexible working hours</li>
<li>Attractive remuneration programme: An attractive salary and profit-sharing for employees.</li>
<li>Healthy balance: Take your physical and mental health to the next level with a HanseFit membership!</li>
<li>Expand your language skills: Optimise your career prospects with the English and German courses offered.</li>
</ul>


Data Scientist (f/m/d) - Process Development

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