Senior Data Scientist – Personalisation & E-commerce Intelligence

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Senior Data Scientist – Personalisation & E-commerce Intelligence

company Selectika AI location Tel Aviv-Yafo, Tel Aviv District, Israel posted 29 Aug

• About Selectika

• Selectika is an AI technology company transforming how fashion and retail brands help customers discover and purchase products online.

• Our technology is already used by leading international brands to improve product intelligence, discovery, recommendations and styling experiences. We are now expanding our platform and looking for a senior data professional to help shape the next generation of intelligent e-commerce experiences.

• The Role

• We are looking for a hands-on Senior Data Scientist with strong experience in personalisation, recommendation systems, behavioural data or customer journey optimisation.

• You will work closely with our product and engineering teams to design the data foundations, models and experimentation frameworks behind new customer-facing capabilities.

• This is a product-building role, not a traditional reporting or BI position. You will help turn complex behavioural and product data into measurable improvements in the online shopping experience.

• Key Responsibilities

• Design data frameworks for understanding digital shopping journeys.

• Define the events, signals and data structures required to support personalisation.

• Develop approaches for interpreting customer behaviour and intent.

• Build and improve recommendation, ranking and decisioning methodologies.

• Combine behavioural, product and contextual data to support customer-facing experiences.

• Design and evaluate A/B tests and other controlled experiments.

• Define performance metrics and measurement methodologies.

• Work with engineering to take data-science capabilities into production.

• Identify data-quality, privacy, scalability and performance requirements.

• Communicate findings and recommendations clearly to product, engineering and business stakeholders.

• What We’re Looking For

• Significant experience in data science, personalisation, recommendation systems, search, ranking or customer journey analytics.

• Proven experience building data products or models used in production.

• Strong Python and SQL skills.

• Experience working with event-based behavioural data.

• Strong understanding of experimentation, A/B testing and performance measurement.

• Ability to translate business and product challenges into practical data solutions.

• Strong product thinking and commercial awareness.

• Ability to work independently in a fast-moving, early-stage environment.

• Excellent communication and collaboration skills.

• Strong Advantages

• Experience in e-commerce, retail, fashion or marketplaces.

Experience with recommendation or ranking systems

Experience working with large product catalogues

• Knowledge of real-time data pipelines and event-tracking architectures.

• Experience with customer data platforms, vector databases or machine-learning infrastructure.

• Understanding of attribution, first-party data and privacy-by-design.

• Previous experience establishing a new data capability or technical framework.

• What Success Looks Like

• You will help Selectika establish a robust and scalable data foundation for its next stage of product development, introduce a structured experimentation methodology, and turn behavioural and product data into measurable customer and commercial value.

• Why Join Selectika?

• This is an opportunity to take a central role in the development of an innovative AI platform already working with major international fashion and retail brands.

• You will work directly with the company’s leadership, product and technical teams, influence core product decisions, and help build technology that changes how people discover and shop for products online.

• If you have built personalisation, recommendation or behavioural intelligence products and are excited by the opportunity to shape a new category in e-commerce, we would love to hear from you.

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