Data Scientist - Linear Optimization

• Full-time
• Department:
  Product & Tech
• Job Level: 06
• Compensation: EUR 56,200 - EUR 77,400 - yearly

With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier – and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets.

That’s the power of plus.

As a Data Scientist in Linear and Mixed Integer Optimization, you will join the Resource Planning Team and will contribute to crucial outbound logistics processes and systems in the company. You will have an opportunity to create and enhance tools for cost-efficient planning in a continuously growing logistics network with + parcels weekly.

Here are some things about the way we work:

We work in self-organized teams, respecting and valuing everyone´s opinion.

We
learn
from each other through pair programming, code reviews, and knowledge sharing.

We
deliver value
by developing new features, maintaining existing products and improving the infrastructure required for it, so being
cross-functional is part of our DNA.

We build
quality
into our code by following
clean code
principles and
Dev Ops
practices - you build it, you run it.

We work in a mature Agile
environment, taking a part in entire software development life cycle from discovery through coding, testing, deployment and maintenance.

We continuously grow our skillset staying on top of fast-pacing environment, striving for
mastery and using state-of-the-art technologies and practices.

We embrace diversity
, having colleagues from over 50 countries. This means our working language is
English
.

These are some of the technologies, frameworks, and practices we use:

Gurobi, Python

Amazon Web Services and Terraform

CI/CD with Jenkins pipelines

Grafana, Kibana

Responsibilities:

Design, develop and maintain linear optimization and mixed integer models and integrate them in production

Analyze data, run simulations, and present actionable insights to stakeholders across engineering, product, and operations.

Contribute to the full SDLC; from ideation and prototyping to deployment, monitoring, and continuous improvement

Ensure quality and performance of developed solutions through testing, validation, and monitoring in production.

Requirements:

BS in Computer Science, Applied Mathematics, or another related field.

3+ years of hands-on experience solving linear optimization and mixed-integer problems

1+ years of experience with commercial solvers (preferably Gurobi) for building and solving optimization models

Solid knowledge of advanced mathematical modeling techniques and experience with simulations

Proficiency in Python and scientific computing libraries such as Pandas
, Num Py
, and Sci Py
.

Knowledge of relational databases and query authoring (SQL)

Practical experience working with relational databases and writing SQL queries

Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Experience with Forecasting algorithms will be a plus
; willingness to learn is equally valued

Team player with “
can do
” attitude

Proactive in learning new skills and technologies, confident in challenging status quo to drive continuous improvement

Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working,…