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Data Science Engineer (f/m/d)

Ist Cube

Wien

Vor Ort

EUR 38 000 - 65 000

Vollzeit

Gestern
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Zusammenfassung

A leading company is seeking a Data Science Engineer to transform vast data into actionable intelligence. Successful candidates will leverage NLP and machine learning technologies while enjoying a supportive workplace with various employee benefits and an inclusive environment.

Leistungen

Competitive Compensation and Benefits
Inclusive and Supportive Work Environment
Work-Life Balance
Extra vacation day for your birthday
Office Snacks and Fruits
Engaging Team Events
Health and Wellness Initiatives
Choice of your device (Windows, MacOS, Linux)
Training and Development

Qualifikationen

  • 3+ years of experience in a data science environment.
  • Experience with machine learning technologies.
  • Good experience in working with Python and Scala.

Aufgaben

  • Leverage NLP to extract meaning from diverse datasets.
  • Develop, fine-tune, and deploy machine learning models.
  • Identify and integrate new data sources.

Kenntnisse

Natural Language Processing (NLP)
Python
Scala
Machine Learning
SQL

Ausbildung

Bachelor’s degree in Computer Science, Statistics, Mathematics or related fields

Tools

Torch
TensorFlow

Jobbeschreibung

About Prewave

Make a Real Difference

At Prewave, we are dedicated to making a positive impact on the world. Our innovative AI solutions help businesses identify and predict global supply chain risks. Our aim is to make supply chains more resilient, transparent and sustainable. By doing this we help companies to ensure fair working conditions, eliminate child labour, reduce waste and promote sustainable practices across global supply chains.

Trusted by Global Industry Leaders

Prewave proudly partners with industry leaders such as BMW, Kärcher, Hilti, PwC, and Porsche. Our supply chain superintelligencehelps navigate complex supply chain challenges, ensuring operational integrity and enhancing market leadership.


Your mission

We are looking for aData Science Engineer(f/m/d)who will be at the forefront of turning vast, complex data into actionable intelligence. Your main tasks will be:

  • Decode the data– Leveragenatural language processing (NLP) to extract meaning from diverse datasets.

  • Think like a scientist – Formulate hypotheses, uncover patterns, and pinpoint optimization opportunities.

  • Build smarter AI – Develop, fine-tune, and deploymachine learning modelsusingTorchandTensorFlow.

  • Bridge research & reality– Transform cutting-edge algorithms into production-ready solutions.

  • Keep models sharp – Monitor, enhance, and continuously improve model performance and accuracy.

  • Expand the data universe– Identify and integrate new data sourcesto enrich our intelligence.

  • Collaborate & innovate– Work with cross-functional teams to tackle business challenges with data-driven solutions.

Your profile

Must-haves:

  • Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics or related fields

  • 3+ years of experience in a data science environment

  • Experience with NLP or other machine learning technologies

  • Good experience in working with Python and Scala

  • Experience with machine learning techniques and tools like Torch or Tensorflow

  • Knowledge of SQL and relational databases

Bonus points for:

  • Master’s degree in a related field

  • Understanding of cloud-based services, especially Google Cloud Platform or AWS

  • Knowledge of NoSQL database systems

  • Knowledge of agile software development techniques


What we offer you

What You Can Expect:

  • Competitive Compensation and Benefits: We recognize and reward talent. You'll receive a competitive compensation package of minimum EUR 3,175 gross annually tailored to your qualifications, experience, and the role.

  • Inclusive and Supportive Work Environment: Join a dynamic team in a welcoming and inclusive atmosphere. We celebrate diversity and are committed to fostering a workplace where all backgrounds, identities, and experiences are valued. Your voice is important here.

  • Work-Life Balance:Your well-being matters. Enjoy flexible working hours and options for working from home to promote a healthy balance between your professional and personal life.

What our employees love:

  • Celebrate Your Birthday: Enjoy an extra vacation day to make your birthday special.

  • Office Snacks and Fruits:Stay energised with a variety of snacks and fresh fruits available in the office.

  • Engaging Team Events:Join us for cheese tastings, Ping-pong tournaments, company dinners, seasonal celebrations, and more to foster a vibrant team spirit.

  • Health and Wellness Initiatives: Participate in team sports through our partnership with Eversports, support your mental well-being with guidance from our workplace psychologist, and benefit from health initiatives such as shiatsu sessions, vaccinations and regular health check-ups to prioritise your physical and mental well-being.

  • Your device of choice:whether it's Windows, MacOS or Linux, we'll let you choose your preferred operating system.

  • Training and Development:We believe in investing in our employee’s growth. Besides company-wide German- and soft skills training,each team member is encouraged to discuss their professional development ideas with their manager.


Join Prewave and be part of a passionate team committed to building a future where businesses can thrive alongside ethical and sustainable practices and track ESG (environmental, social, and governance) risks in their supply chains.

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