Are you ready to power the future?

At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 4,000 employees, offices in 34 countries, and millions of installations worldwide.

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond.

With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work.

Senior Data Scientist

Location: Herzliya, Israel

Job Type: Full-time

Department: IT Applications

The IT Applications department is looking for a highly skilled and motivated Senior Data Scientist to join our growing data and AI initiatives. If you're passionate about analytics, NLP, and building impactful machine learning solutions in a cloud-native environment—this is your opportunity to make a difference.

What You’ll Do:

• Lead complex data science projects from ideation to deployment, with a strong focus on business impact.

• Perform deep-dive analyses and apply statistical modeling to uncover actionable insights.

• Design and implement NLP solutions using state-of-the-art techniques, including fine-tuning transformer models like BERT via Hugging Face.

• Work with large language models (LLMs) and explore their integration into enterprise applications.

• Leverage cloud platforms such as Azure and Bedrock to build scalable, production-ready solutions.

• Collaborate with developers, analysts, and business stakeholders to align data science efforts with organizational goals.

• Experiment with tools like Dify and Flowise to streamline LLM workflows and prompt engineering.

What You Bring:

• 5+ years of experience in data science, with a strong foundation in statistics, machine learning, and business analytics.

• Hands-on experience in NLP, including training and deploying models.

• Proficiency in Python and ML frameworks such as scikit-learn, PyTorch, and Hugging Face.

• Experience with Azure ML and Amazon Bedrock environments.

• Bonus: Familiarity with Dify and Flowise for LLM orchestration.