Requirements: English
Company: ShippyPro
Region: Florence , Tuscany
About UsOur 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 ProductShippyPro 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 AreYou''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 OnWe''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, SQLData Science & ML: Scikit-learn, TensorFlow/PyTorch, Hugging Face transformersData Visualization: Matplotlib, Seaborn, Plotly, TableauNLP & LLMs: Spacy, NLTK, integration with foundation modelsData Processing: Pandas, NumPy, potentially Spark for larger datasetsCloud Services: Some familiarity with cloud services (AWS preferred but not required)Databases: PostgreSQL, experience with NoSQL databases is a plusTechnical Challenges You''ll SolveClean and transform messy, inconsistent datasets from multiple sources to create reliable data pipelinesDevelop robust methods to handle time series anomalies and inversion issues in shipping dataDesign and implement outlier detection and noise cancellation algorithms to improve data qualityIdentify complex patterns in customer behavior and shipping logistics through advanced statistical methodsDetect emerging trends in shipping volumes, costs, and efficiency metrics across global marketsThe Data Engineering TeamWere 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 YouEducation 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 experience2+ years of experience applying data science and machine learning techniques to real-world business problems and shipping data-driven productsTechnical Skills:Strong proficiency in Python for data analysis, visualization, and model developmentExperience with ML frameworks and libraries like Scikit-learn, TensorFlow, or PyTorchSolid understanding of statistical methods and their applicationExperience with SQL and data manipulation in various database environmentsKnowledge of data visualization techniques and toolsData Science Capabilities:Proven track record of building and deploying ML models that solve business problemsExperience with the full data science lifecycle from problem formulation to model deploymentStrong skills in feature engineering, model selection, and hyperparameter tuningExperience with NLP techniques and working with text dataLLM Expertise:Hands-on experience integrating or fine-tuning LLMs for specific applicationsUnderstanding of prompt engineering and optimization techniquesAbility to evaluate and benchmark LLM performance for different use casesSoft Skills:Excellent problem-solving skills and ability to translate business needs into techn