Data Scientist

playAI is the initiative driving PLAYSTUDIOS toward becoming an AI-first company, combining Generative AI and Data Science to create more personalized, adaptive, and impactful game experiences.

As a Data Scientist, you will play a key role in building AI-driven systems that directly influence player experience, game performance, and business outcomes.

You will work at the intersection of product, engineering, and AI, helping turn data and models into real production systems.

Duties And Responsibilities

Own end-to-end Data Science solutions, including problem definition, modeling, validation, and measurable impact in production

Partner with Product, Engineering, and Studio teams to shape game systems and player experiences

Build and validate models that directly impact player behavior, game mechanics, and monetization systems

Define and enforce Data Science standards, including modeling, validation, and production readiness

Provide technical leadership and drive quality across Data Science work

How we work:

We balance speed and quality based on product needs

We prioritize iterative delivery and measurable impact over perfection

We focus on production systems, not isolated research

We work closely with product and studios to ensure relevance and adoption

Requirements

3+ years of experience in Data Science, Machine Learning, or a related field

Strong background in statistics, probability, and data modeling

Experience building and deploying models in production environments

Experience with LLMs, including prompt engineering and modern AI toolchains

Strong programming skills in Python and SQL, with experience working on large-scale data systems

Experience with experimentation frameworks and A/B testing in production environments

Experience working on B2C products, with strong understanding of user behavior and engagement dynamics

Strong collaboration skills and ability to manage multiple tasks in parallel

Strong problem-solving skills and ability to operate in fast-paced, ambiguous environments

Preferred Qualifications:

Experience designing and working with real-time or near real-time systems (e.g. online inference, decision systems)

Experience with MLOps practices (model lifecycle, monitoring, CI/CD for ML systems)

Experience translating complex product or system requirements into scalable technical solutions

Experience in gaming, game economies, or player behavior-driven systems

This is a hybrid role based in our Tel Aviv office, with three on-site workdays per week.

About PLAYSTUDIOS

PLAYSTUDIOS is the developer and operator of award-winning free-to-play casual games for mobile and social platforms. The company’s collection of original and published titles is powered by its groundbreaking playAWARDS loyalty marketing platform, which enables players to earn real-world rewards from a portfolio of global entertainment, retail, technology, travel, leisure, and gaming brands across 17 countries and four continents. Founded by a team of veteran gaming, hospitality, and technology entrepreneurs, PLAYSTUDIOS brings together beautifully designed mobile gaming content with an innovative loyalty platform in order to provide its players with an unequaled entertainment experience and its partners with actionable business insights. To learn more about PLAYSTUDIOS, visit playstudios.com

PLAYSTUDIOS is an equal opportunity employer. Applicants will be considered regardless of their sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military or veteran status, or other protected category under the law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

California Residents: Please review our California HR Data Privacy Policy for information about our data practices.

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