Data Scientist
Data Scientist
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Job Description
About us
Our journey began with a vision to Make people work better and today following our recent Series B funding round of $15M were leading a rapid growth trajectory thats transforming how companies worldwide deliver their products.
This is not just a job; its an opportunity to be part of something extraordinary. As we surge ahead youll be at the heart of a movement thats setting new standards and leaving an indelible mark. You wont be a cog in the wheel; youll be the engine driving our success.
Our fast-paced collaborative environment is the breeding ground for creativity and innovation. Youll be surrounded by a diverse team of experts all driven by a shared purpose. Together well navigate challenges celebrate victories and constantly push each other to reach new heights.
Join Us in Shaping the Future
If youre passionate driven and eager to make a real impact we want you on our team. Together lets 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
Youre 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. Youre driven by the desire to translate business problems into data-driven solutions and have experience deploying models that deliver tangible value. Youre ready to take ownership of your projects and collaborate closely with cross-functional teams to deliver impactful data science solutions.
The Data Science Projects Youll Be Working On
Were on a mission to leverage our rich data assets to build intelligent features that enhance our platforms capabilities. Our goal is to develop and deploy data science solutions that provide actionable insights and automation opportunities. Were 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 Youll 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
Were 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 youll have the opportunity to make a real difference in how we leverage data to improve our product.
About You
- Education and Experience:
- Bachelors or Masters 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. Thats 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.
Hiring Process
We take the time to find the right fit for our team. Heres what you can expect after the initial review of your application:
- A video interview with the P&C team
- A tech interview
- A verbal assessment of your technical skills including a live coding challenge
Thanks for considering joining our team. We look forward to hearing from you!
Employment Type
Full Time
