דרושים Data Science Engineer בתל אביב

_**We’re building the AI-driven future of customer success, from retention to growth!

**_Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight’s applications and AI agents to drive learning, adoption, community connection, and success for their customers. To explore how our suite of solutions is shaping the future of customer success, check out the link.

**About This Role

**We’re looking for a full-time Data Science Engineer to join our Engineering team reporting to the VP, Engineering. This role is a hybrid role based out of our Tel Aviv, Israel location.

In this role, you’ll play a key role in shaping our data infrastructure by designing, building, and deploying pipelines that power insights across our Customer Success platform. This is a great opportunity for someone who thrives in a fast-paced startup environment and enjoys working cross-functionally with teams like engineering and product. The ideal candidate brings strong skills in data engineering, data processing, and cloud technologies.

What You'll Do

• Develop and implement data pipelines for a variety of tasks, such as data ingestion, transformation, and storage.
• Conduct research and experimentation to improve the performance of our data processing systems.
• Clean and preprocess large datasets.
• Work with LLMs to analyze, classify and extract insights from text
• Communicate results and insights to the rest of the team and stakeholders.
• Stay up-to-date with the latest developments in data engineering and cloud technologies.

_This is not a complete list of responsibilities, and the scope of the role may evolve with the needs of the team and business.

_**What We're Looking For

**Must-have skills or experience:

• Strong background in data engineering, data processing, and cloud technologies is preferred but not required.
• Strong programming skills in Python, its ecosystem, frameworks and libraries
• Be familiar with and adhere to clean code guidelines, prioritizing code quality and testability.
• Expert in SQL, we rely heavily on SQL and this is a must
• Good communication and teamwork skills.
• Ability to work in a fast-paced, startup environment.

Nice-to-have Skills Or Experience

• Proven experience in building and deploying data pipelines
• Experience with JVM language (Java / Kotlin)

_**Why You’ll Love It Here

**_**Education

**Gainsight is a place where innovation is shaped through collaboration, curiosity, and a shared focus on solving real-world problems. With a growing suite of products across customer success, product experience, community, education, and AI-powered relationship intelligence, we continue to evolve with the needs of our customers. When people with diverse strengths, a strong sense of community, and true passion for our mission come together, they drive greater impact and create lasting value. What underpins it all is a culture that offers the stability, trust, and support that people need - not just to do the job, but to show up as themselves and feel connected to the work they do. Gainsters love working here for several reasons. Here are a few:

Our Compensation and Benefits: At Gainsight, we believe great work happens when teammates feel fully supported.

• We offer a comprehensive benefits package including pension contributions, a Study Fund (Keren Hishtalmut), and a monthly lunch card allowance . You'll also enjoy dedicated Recharge Holidays - one long weekend each quarter to relax and reset.

Our Core Values: We are guided by our values and our mission to be living proof you can win in business while being Human-First. Learn more here.

Our Growth Opportunities: From mentoring to career development opportunities, we’re passionate about helping our teammates learn, grow, and thrive.

Our Parody Videos: No explanation needed. Just watch them here!If this sounds like the right role for you, we’d love to hear from you.