Data Analysis Scientist - Machine Learning
Data Analysis Scientist - Machine Learning

Data Analysis Scientist - Machine Learning

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to develop innovative data science solutions for gaming.
  • Company: Join a global leader in interactive entertainment with over 6 billion downloads.
  • Benefits: Enjoy a hybrid work model and opportunities for career development.
  • Why this job: Shape the future of gaming while influencing key business decisions.
  • Qualifications: 5+ years in analytics, advanced degree in a quantitative field required.
  • Other info: Passion for video games and experience in mobile gaming is a plus.

The predicted salary is between 36000 - 60000 £ per year.

As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille, Words With Friends, Zynga Poker, Game of Thrones Slots Casino, Wizard of Oz Slots, Hit it Rich! CSR Racing, Harry Potter: Puzzles & Spells, Match Factory, and Color Block Jam-plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. As a Principal Data Scientist, you will play a key leadership role in driving Gram Games\’ data-driven culture and strategy. You will lead a team of data professionals while serving as a technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you\’ll develop innovative data science solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games. Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and fostering collaboration across teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction Design and oversee complex A/B testing frameworks to evaluate game features, marketing campaigns, and monetization strategies, monitoring results and delivering actionable recommendations Translate complex technical concepts and analytical findings into clear, compelling narratives that drive strategic decisions at the executive level Collaborate with engineering teams to implement data solutions in production environments and ensure data infrastructure meets the needs of data science initiatives Stay at the forefront of data science advancements, evaluating new methodologies and technologies to maintain competitive advantage Serve as the data authority in strategic planning sessions, using your expertise to influence product roadmaps and business strategy Build strong relationships with key stakeholders across the organization to understand their needs and ensure data science initiatives deliver measurable business impact Genuine passion for video games and a deep understanding of the mobile gaming industry ~5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company ~ Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field ~ Expert knowledge of statistics, machine learning, and causal inference techniques with demonstrated ability to apply them to real-world business problems ~ Mastery of programming languages such as Python and SQL, with experience building production-level data science applications ~ Proven track record of leading successful data science initiatives that delivered significant business impact ~ Experience with big data technologies and cloud platforms (AWS, Snowflake, etc.) ~ Strong project management skills with ability to prioritize, manage resources, and deliver complex projects on time ~ Deep understanding of performance marketing in mobile games, including user acquisition strategies, marketing attribution, ROAS optimization, and LTV modeling ~ Demonstrated leadership abilities, including mentoring data professionals and influencing cross-functional stakeholders ~ Strategic thinking with the ability to connect data insights to business objectives and drive organizational change ~ Experience with game analytics, player behavior modeling, and free-to-play monetization strategies is highly desirable #LI-Hybrid Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual\’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel.

Data Analysis Scientist - Machine Learning employer: Zynga

As a leading global player in interactive entertainment, our company offers a vibrant work culture that fosters creativity and collaboration among passionate gaming enthusiasts. With a commitment to employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our team members thrive in their careers while contributing to innovative data-driven strategies that shape the future of gaming. Located in California, we enjoy a dynamic environment that encourages work-life balance and celebrates diversity, making us an exceptional employer for those seeking meaningful and rewarding employment in the gaming industry.
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Contact Detail:

Zynga Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analysis Scientist - Machine Learning

✨Tip Number 1

Familiarise yourself with the latest trends in machine learning and data science, especially as they relate to gaming. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise.

✨Tip Number 2

Network with professionals in the gaming industry, particularly those working in data science roles. Attend relevant conferences or webinars, and engage with them on platforms like LinkedIn to gain insights and potentially get referrals.

✨Tip Number 3

Prepare to showcase your leadership skills by thinking of examples where you've successfully led a team or project. Be ready to discuss how you mentored others and drove data initiatives that had a measurable impact.

✨Tip Number 4

Brush up on your programming skills, particularly in Python and SQL. Consider working on personal projects or contributing to open-source projects that involve data analysis or machine learning to demonstrate your technical abilities.

We think you need these skills to ace Data Analysis Scientist - Machine Learning

Advanced Statistical Analysis
Machine Learning Expertise
Causal Inference Techniques
Programming in Python and SQL
Data Science Application Development
Big Data Technologies
Cloud Platforms (AWS, Snowflake)
Performance Marketing Knowledge
User Acquisition Strategies
Marketing Attribution
Return on Ad Spend (ROAS) Optimisation
Lifetime Value (LTV) Modelling
A/B Testing Framework Design
Project Management Skills
Leadership and Mentoring
Strategic Thinking
Game Analytics Experience
Player Behaviour Modelling
Free-to-Play Monetisation Strategies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, machine learning, and any leadership roles you've held. Use keywords from the job description to demonstrate that you meet the qualifications.

Craft a Compelling Cover Letter: In your cover letter, express your passion for gaming and how your skills align with the company's goals. Mention specific projects or achievements that showcase your expertise in data science and leadership.

Showcase Technical Skills: Clearly outline your proficiency in programming languages like Python and SQL, as well as your experience with big data technologies. Provide examples of how you've applied these skills to solve real-world business problems.

Demonstrate Strategic Thinking: Use your application to illustrate your ability to connect data insights to business objectives. Share examples of how your analytical work has influenced decision-making and driven organisational change in previous roles.

How to prepare for a job interview at Zynga

✨Showcase Your Technical Skills

Be prepared to discuss your expertise in statistics, machine learning, and programming languages like Python and SQL. Bring examples of past projects where you applied these skills to solve real-world business problems, especially in gaming or digital products.

✨Demonstrate Leadership Experience

Highlight your experience in leading teams and mentoring data professionals. Discuss specific instances where you influenced cross-functional stakeholders and drove data science initiatives that had a measurable impact on the business.

✨Connect Data Insights to Business Objectives

Prepare to explain how you've used data insights to inform strategic decisions in previous roles. Be ready to discuss how you can align data science strategies with business goals, particularly in enhancing player engagement and monetisation.

✨Stay Updated on Industry Trends

Show your genuine passion for video games and your understanding of the mobile gaming industry. Be aware of the latest advancements in data science methodologies and technologies, and be ready to discuss how they could benefit the company.

Data Analysis Scientist - Machine Learning
Zynga
Z
  • Data Analysis Scientist - Machine Learning

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-07-17

  • Z

    Zynga

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