Working Student Data Scientist (d/f/m)

This listing is synced directly from the company ATS.

Role Overview

As a Working Student Data Scientist at Bettermile, you'll maintain and enhance dashboards, monitor ML model performance, and conduct exploratory data analyses. This junior role is within a supportive team where you'll translate data findings into actionable insights and contribute to the development of data pipelines, making a significant impact on the company's data platform.

Perks & Benefits

Bettermile offers a flexible remote work setup, allowing employees to work from anywhere for up to 12 weeks a year. The company promotes a supportive culture with regular team events, wellness classes, and a modern workspace in Berlin. Employees enjoy 27 vacation days and opportunities for professional growth, emphasizing collaboration and autonomy.

Full Job Description

What is working at Bettermile like?

  • 🌟 We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities.

  • 🌍 We mean diversity and we put it in numbers: 29 languages, 32 nationalities, 42% female (vs. ø26% in the tech industry), and yes, we do have Schlager-Fans among us.

  • 🚀 You can quickly take on responsibility without feeling left alone. Your team is always at your side.

  • 🎨 We mean it when we say “cutting edge” and have a high level of creational freedom in our everyday work.

  • 🏢 We work in a hybrid mode with weekly team days for better collaboration and nurturing interpersonal connections. When onsite - we work in a modern, kid & pet-friendly Better Space in the heart of Berlin-Kreuzberg.

  • ✈️ Remote work from anywhere for up to 12 weeks in total in a year.

  • 🛌 Enjoy 27 vacation days (with a 5-day week model)

  • 🍎 Regular team breakfasts, fitness & wellness classes, company runs, and other events. Fruits, snacks, drinks, and coffee with a variety of milk are a given - but yes, we have them.

  • 💡 Outstanding flexibility we are proud of – and of course, the best colleagues in the world!

You will be taking care of:

  • Maintaining and further developing existing dashboards and reports

  • Monitoring and evaluating the performance of ML models

  • Conducting exploratory data analyses (e.g. user behavior, feature impact on KPIs) and translating findings into actionable insights

  • Contributing to the development and optimization of data pipelines

  • Supporting the team in building and scaling our data platform

You check these boxes:

  • You have strong analytical thinking and a solid understanding of statistical methods

  • You are proficient in Python and SQL

  • You have hands-on experience in data analysis and data visualization

  • You are curious, detail-oriented, and possess strong problem-solving skills

  • You communicate confidently in English

  • You are a proactive and motivated learner who enjoys taking ownership while collaborating closely with a supportive team

It is awesome if you also have:

  • Initial hands-on experience with ML models (e.g., university projects)

  • An interest in tackling complex data challenges

Take your chance

Be a part of shaping a fast-growing industry and make an impact from day one. You’ll have the chance to take on responsibility early, with guidance and support from experienced mentors. We foster a learning culture, collaboration on equal footing, and quick decision-making that moves things forward.

Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa.

About us

At Bettermile, we believe delivery shouldn’t be business as usual. We’re transforming last-mile logistics to drive efficiency and create a better delivery experience for everyone.

Our geo-based, AI-powered SaaS product handles complex address processing, dynamic routing, and navigation. It is built to manage many stops and multiple constraints.

We’re setting a new standard for the last mile and pushing the industry forward, powered by a skilled, international team of tech enthusiasts, logistics experts, and a product suite designed to keep evolving.

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