Our journey began with a vision to "Make people work better" and today, following our recent Series B funding round of $15M, we're leading a rapid growth trajectory that's transforming how companies worldwide deliver their products.

This is not just a job; it's an opportunity to be part of something extraordinary. As we surge ahead, you'll be at the heart of a movement that's setting new standards and leaving an indelible mark. You won't be a cog in the wheel; you'll be the engine driving our success.

Our fast-paced, collaborative environment is the breeding ground for creativity and innovation. You'll be surrounded by a diverse team of experts, all driven by a shared purpose. Together, we'll navigate challenges, celebrate victories, and constantly push each other to reach new heights.

Join Us in Shaping the Future

If you're passionate, driven, and eager to make a real impact, we want you on our team. Together, let's rewrite the playbook and set new standards for excellence.

The Product

ShippyPro is the platform that simplifies shipping and fulfillment processes for merchants, helping them automate and speed up their operations. We are currently undertaking a major initiative to modernize our tech stack to a fully distributed system to support our business growth for the coming years.

Who You Are

You're a data scientist with a passion for extracting meaningful insights from complex datasets and building production-ready ML solutions. You thrive in dynamic environments where innovation, problem-solving, and continuous learning are essential. You're driven by the desire to translate business problems into data-driven solutions and have experience deploying models that deliver tangible value. You're ready to take ownership of your projects and collaborate closely with cross-functional teams to deliver impactful data science solutions.

The Data Science Projects You'll Be Working On

We're on a mission to leverage our rich data assets to build intelligent features that enhance our platform's capabilities. Our goal is to develop and deploy data science solutions that provide actionable insights and automation opportunities. We're integrating large language models (LLMs) to solve complex business problems and drive innovation. Our tech stack includes:

Programming Languages: Python, SQL
Data Science & ML: Scikit-learn, TensorFlow/PyTorch, Hugging Face transformers
Data Visualization: Matplotlib, Seaborn, Plotly, Tableau
NLP & LLMs: Spacy, NLTK, integration with foundation models
Data Processing: Pandas, NumPy, potentially Spark for larger datasets
Cloud Services: Some familiarity with cloud services (AWS preferred but not required)
Databases: PostgreSQL, experience with NoSQL databases is a plus

Technical Challenges You'll Solve

Clean and transform messy, inconsistent datasets from multiple sources to create reliable data pipelines
Develop robust methods to handle time series anomalies and inversion issues in shipping data
Design and implement outlier detection and noise cancellation algorithms to improve data quality
Identify complex patterns in customer behavior and shipping logistics through advanced statistical methods
Detect emerging trends in shipping volumes, costs, and efficiency metrics across global markets

The Data Engineering Team

We’re a high-impact, fast-moving team focused on performance, scalability, and continuous improvement. We handle large-scale data processing and analytics, shipping regular updates and new features.

Here, your work truly matters, and you'll have the opportunity to make a real difference in how we leverage data to improve our product.

About You

Education and Experience:

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, OR 3+ years of relevant industry experience

- 2+ years of experience applying data science and machine learning techniques to real-world business problems and shipping data-driven products
Technical Skills:

- Strong proficiency in Python for data analysis, visualization, and model development

- Experience with ML frameworks and libraries like Scikit-learn, TensorFlow, or PyTorch

- Solid understanding of statistical methods and their application

- Experience with SQL and data manipulation in various database environments

- Knowledge of data visualization techniques and tools
Data Science Capabilities:

- Proven track record of building and deploying ML models that solve business problems

- Experience with the full data science lifecycle from problem formulation to model deployment

- Strong skills in feature engineering, model selection, and hyperparameter tuning

- Experience with NLP techniques and working with text data
LLM Expertise:

- Hands-on experience integrating or fine-tuning LLMs for specific applications

- Understanding of prompt engineering and optimization techniques

- Ability to evaluate and benchmark LLM performance for different use cases
Soft Skills:

- Excellent problem-solving skills and ability to translate business needs into technical solutions

- Strong English communication skills with ability to explain complex concepts to non-technical stakeholders

- A team player who thrives in collaboration and embraces challenges with enthusiasm

- Self-directed with the ability to manage projects from conception to deployment

Nice to Have (but not required)

Experience with AWS services like SageMaker, Bedrock, or Lambda
Knowledge of data engineering principles and ETL processes
Experience in a SaaS or B2B environment
Background in shipping or logistics industry
GitHub portfolio showcasing relevant data science projects

Why Join Us?

AI-Enhanced Development: Boost productivity with GitHub Copilot.
Remote-First Culture: Work from anywhere, with monthly HQ meetups in Florence for those who live in Italy.
Meal Perks: Enjoy daily meal vouchers, wherever you work.
Professional development and growth opportunities: Join a team that values collaboration, celebrates wins, and learns from challenges. We also foster continuous learning with dedicated training programs and curated courses to support your personal and professional development.
Career Growth Program & Continuous Feedback: Clear paths for growth with structured goals and continuous open feedback.
Commitment to Transparency and feedback: We value openness and fairness in everything we do. That’s why we foster a culture where feedback - even anonymous - is encouraged and welcomed, helping us improve, grow, and build a workplace we all believe in.