Technology, Information and Internet

Necture

11-50

<p>NECTURE empowers businesses to unlock the full potential of fleets, seamlessly bridging the gap between mobility and energy. Combining human-driven information with data-driven intelligence, we provide tailored solutions that optimize operations, reduce costs, and achieve sustainability goals. NECTURE is building a world where electric fleets are not only possible, but thrive.  </p>
<p>With a growing number of customers around the world, and an exciting data-driven product that is developing continuously, we are looking for a <strong>Data Scientist (full-time)</strong> to join our team in Vienna or remotely (within Europe) to start in autumn 2024.</p>
<h2>Tasks</h2>
<ul>
<li>Conducting data analyses</li>
<li>Preparing powerful visualizations and computing performance metrics</li>
<li>Developing and deploying data science pipelines  </li>
<li>Driving the growth of our product by leading initiatives in the Data Science field</li>
<li>Coming up with new approaches for improving our service and measuring its impact</li>
<li>Being the go-to person for strategic data science topics within our team</li>
<li>Handling geospatial data related to our products</li>
<li>Developing &amp; reviewing spatio-temporal models </li>
<li>Working together with other team members - bridging data science and back-end</li>
<li>Mentoring and coaching members of the team on data science topics</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>4+ years of experience working as a Data Scientist in a strategically relevant role</li>
<li>Field of study: Statistics, Applied Mathematics, Computer Science, or a related field focused on predictive modeling and quantitative analysis.</li>
<li>Knowledge of and experience with holistic data science approaches</li>
<li>Strong understanding &amp; experience of machine learning approaches, reinforcement learning, and other trends in the field </li>
<li>Ability to take the lead on tasks &amp; activities and engage colleagues in the process</li>
<li>Strong track record in applying data science concepts to real-world products, ideally in a dynamic/ start-up setting</li>
<li>Good English language skills (German language not required)</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Opportunity to shape a fast-growing start-up and make a significant impact on our future.</li>
<li>Join a fantastic team with a vibrant start-up spirit and English as the working language.</li>
<li>Enjoy flexible working hours with a healthy mix of office and remote work.</li>
<li>Continuous training and learning support through events, training sessions, and courses.</li>
<li>Top equipment, incl. individual equipment budget for special requests, company phone, company e-scooters, etc.</li>
<li>Participate in regular team events to foster a collaborative and fun work environment.</li>
<li>Receive a competitive salary based on your experience and qualifications</li>
</ul>
<p>As an innovative start-up, we value your fresh ideas, unique perspectives, and motivations to contribute to a livable future with the power of climate tech.</p>

Data Scientist

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