Вакансия Data Scientist for SaaS E-commerce Solutions

Skills

• Python
• Pandas
• NumPy
• scikit-learn
• TensorFlow
• SQL
• AWS

Описание вакансии

We’re seeking a motivated and detail-oriented Data Scientist to join a rapidly growing SaaS company specializing in price optimization for e-commerce. If you enjoy uncovering insights from complex datasets, building predictive models, and solving real-world problems in the e-commerce domain, this role is for you. You’ll work closely with an international team to drive innovation and deliver impactful, data-driven solutions.

Додаткові переваги:

• A dynamic and fast-paced work environment with opportunities for personal and professional growth.
• Flexible working hours and a fully remote position.
• Collaborative and informal team culture that values work-life balance.
• Access to modern tools and equipment of your choice to help you excel in your role.
• Regular team activities, including social events and opportunities to build strong team connections.

Про клієнта:

A leading SaaS company specializing in dynamic pricing and market intelligence solutions for e-commerce businesses. Their platform empowers retailers and brands to monitor competitors' prices, analyze market trends, and optimize pricing strategies in real-time. Its innovative tools provide actionable insights that help businesses increase profitability and maintain a competitive edge. With seamless integrations, customizable dashboards, and automated pricing updates, The company simplifies complex pricing strategies, allowing clients to focus on growth. Trusted by businesses across various industries, it has established itself as a reliable partner in helping companies thrive in the fast-paced world of online retail.

Про проект:

The project centers around one of Denmark’s fastest-growing SaaS companies, dedicated to revolutionizing e-commerce through data-driven solutions. Solutions for the e-commerce industry, enabling businesses to optimize their operations and make strategic decisions. A cutting-edge platform that leverages machine learning, predictive modeling, and data analysis to uncover insights and drive innovation. Collaborating with an international team offers the opportunity to contribute to impactful solutions that shape the future of e-commerce technology.

Вимоги:

• Proficiency in Python and data-focused libraries such as Pandas, Numpy, Scikit-learn, and TensorFlow.
• Strong SQL skills, including experience with complex queries (joins, subqueries, aggregations).
• In-depth understanding of machine learning algorithms and their applications in sales and business data.
• Practical experience in time series analysis for solving business problems like demand forecasting and inventory management.
• Experience deploying and managing machine learning models in a cloud environment (e.g., AWS).
• Expertise in feature engineering and optimization techniques.
• Familiarity with software engineering practices such as version control and testing.
• Experience working with e-commerce sales and customer data will be a plus
• Understanding of e-commerce-specific datasets and their practical applications will be a plus
• Basic knowledge of deep learning methods, particularly LSTMs (Long Short-Term Memory networks) will be a plus

Обов'язки:

• Develop and implement machine learning and deep learning models to address business challenges, including sales forecasting and inventory optimization.
• Conduct advanced time series analysis to identify trends and provide actionable insights.
• Write and optimize complex SQL queries for data extraction, manipulation, and analysis.
• Collaborate with software engineers to integrate predictive models and analytics solutions into the platform.
• Perform exploratory data analysis and present findings to stakeholders and team members.