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Data Science Expert for E-commerce Optimization

2 tygodni temu


Gdańsk, Pomerania, Polska Netminds Pełny etat
About Netminds
Netminds is a young SaaS company that develops and sells a price optimization tool for e-commerce stores and brands worldwide. Our platform's core functionalities are driven by data, and as a Data Scientist at Netminds, you will play an essential role in analyzing, modeling, and deriving insights from this data.

As a member of our international team, you will work closely with your Team Lead, CTO, Head of Engineering, and full-stack developers to build predictive models, analyze trends, and optimize e-commerce-related processes using structured data. Your day-to-day work will be focused on delivering business value through data-driven solutions.

Key Responsibilities:
• Collaborate with software developers to implement data-driven solutions into the platform
• Conduct exploratory data analysis and present insights to the team lead and relevant stakeholders
• Assist in advanced time series analyses for e-commerce data, such as sales forecasting and inventory management
• Support the development and deployment of machine learning and deep learning models under the guidance of the team lead

Requirements:
• Strong experience with Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow)
• Proficiency in SQL, with the ability to write complex queries involving joins, subqueries, and aggregations
• A solid understanding of machine learning algorithms (supervised and unsupervised learning) and their practical applications in sales data
• Practical experience in time series analysis for solving business problems like sales forecasting and inventory management
• Experience deploying and maintaining machine learning models in a production environment using AWS services
• Strong understanding of feature engineering techniques
• Experience with software engineering best practices such as version control and testing

Benefits:
We offer a range of benefits to support your personal and professional growth, including sport subscriptions, training budgets, private healthcare, and flat structure.