Data Scientist

JD.COM; Berlin; Presencial; EUR 75 000 - 110 000; Tempo integral

Resumo da oferta

JD.com in Berlin is seeking a Data Scientist to build data-driven insights and ML models powering personalization, recommendation and analytics for our international e-commerce operations.

You will transform raw data into business intelligence, work with data engineers, product managers and business teams to improve decision-making and customer experience across JD.com’s global platform.

Qualificações

• Master's degree or higher in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in data science, machine learning, or applied analytics.
• Proficiency in Python, R, or Scala, with strong skills in data analysis and statistical modeling.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).
• Strong knowledge of A/B testing, experimentation design, and causal inference.
• Excellent communication skills, with the ability to present complex findings to non-technical stakeholders.

Responsabilidades

• Build predictive models and advanced analytics solutions to improve personalization, recommendation, and customer segmentation.
• Analyze large-scale datasets to identify behavioral trends, business opportunities, and product improvement areas.
• Partner with data engineers to ensure clean, reliable data for experimentation and model deployment.
• Design and run A/B tests to measure the impact of algorithms and product features.
• Translate technical insights into clear, actionable recommendations for business and product stakeholders.
• Stay current with research and industry best practices in machine learning, NLP, and AI, applying them to real-world e-commerce challenges.

Descrição da oferta de emprego

Who We Are

At JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, JD.com operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.

Our Global Reach

JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.

Learn more about who we are and what we do: https://corporate.jd.com/

What We Offer

Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you'll have the space to shape the future with us.

About The Team

You’ll be joining the JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.

JD.com is seeking a Data Scientist to develop data-driven insights and machine learning models that power our personalization, recommendation, and analytics systems. In this role, you will transform raw data into business intelligence, working closely with data engineers, product managers, and business teams to improve decision-making and enhance customer experience across JD.com’s international e-commerce operations. Learn more: https://corporate.jd.com/

Key Responsibilities:

Build predictive models and advanced analytics solutions to improve personalization, recommendation, and customer segmentation.Analyze large-scale datasets to identify behavioral trends, business opportunities, and product improvement areas.Partner with data engineers to ensure clean, reliable, and accessible data for experimentation and model deployment.Design and run A/B tests to measure the impact of algorithms and product features.Translate technical insights into clear, actionable recommendations for business and product stakeholders.Stay current with research and industry best practices in machine learning, NLP, and AI, applying them to real-world e-commerce challenges.

Qualifications:

Master's degree or higher in Data Science, Statistics, Computer Science, or a related field.3+ years of experience in data science, machine learning, or applied analytics.Proficiency in Python, R, or Scala, with strong skills in data analysis and statistical modeling.Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).Strong knowledge of A/B testing, experimentation design, and causal inference.Excellent communication skills, with the ability to present complex findings to non-technical stakeholders.

Preferred Qualifications:

Experience in global e-commerce, personalization, or recommendation systems.Familiarity with big data platforms (Spark, Hadoop) and cloud ML pipelines (AWS Sagemaker, GCP Vertex AI, or Azure ML).Background in NLP or computer vision applications for large-scale platforms.

What We Offer:

A dynamic and challenging work environment in a leading global e-commerce company.The opportunity to work with a diverse international team and to make a significant impact on JD.com’s global presence.Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses.

At JD.com, we're committed to building a diverse and inclusive workplace where everyone can thrive. We're proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.