At a Glance
- Tasks: Lead a team of data scientists to drive innovative data solutions for gaming.
- Company: Join Zynga, a global leader in interactive entertainment with over 6 billion game downloads.
- Benefits: Enjoy flexible work options and a vibrant company culture focused on creativity and collaboration.
- Why this job: Shape the future of gaming while making impactful decisions in a fun, dynamic environment.
- Qualifications: 5+ years in analytics, advanced degree in a quantitative field, and expertise in machine learning.
- Other info: Zynga values diversity and is committed to equal opportunity in the workplace.
The predicted salary is between 48000 - 84000 £ per year.
At Zynga, we bring people together through the power of play. 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. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play!
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.
What You’ll Do
- 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.
What You Bring
- 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.
- Exceptional communication skills with the ability to present complex findings to both technical and non-technical audiences.
- 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.
We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. 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.
Please contact us at accommodationrequest@zynga.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. Any attempt to do so may be the result of a scam or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
Principal Data Scientist - Gram Games employer: ZYNGA INC
Contact Detail:
ZYNGA INC Recruiting Team
accommodationrequest@zynga.com
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist - Gram Games
✨Tip Number 1
Familiarise yourself with the latest trends in mobile gaming and data science. Understanding the current landscape will help you speak confidently about how your skills can contribute to Zynga's goals during interviews.
✨Tip Number 2
Network with professionals in the gaming industry, especially those working at Zynga or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations for the Principal Data Scientist role.
✨Tip Number 3
Prepare to discuss specific examples of your past projects that demonstrate your leadership in data science. Highlight how your contributions led to measurable business impacts, as this aligns with the responsibilities outlined in the job description.
✨Tip Number 4
Showcase your ability to communicate complex data insights clearly. Practice explaining your work to non-technical audiences, as this skill is crucial for influencing decision-making at the executive level within Zynga.
We think you need these skills to ace Principal Data Scientist - Gram Games
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in gaming or digital products. Emphasise your leadership roles and any successful projects that align with the responsibilities of a Principal Data Scientist.
Craft a Compelling Cover Letter: In your cover letter, express your passion for video games and how your skills can contribute to Zynga's mission. Mention specific experiences that demonstrate your ability to lead teams and drive data-driven strategies.
Showcase Technical Skills: Clearly outline your expertise in programming languages like Python and SQL, as well as your experience with machine learning and big data technologies. Provide examples of how you've applied these skills to solve real-world business problems.
Prepare for Interviews: Anticipate questions about your leadership style, project management experience, and how you connect data insights to business objectives. Be ready to discuss your approach to mentoring and collaborating with cross-functional teams.
How to prepare for a job interview at ZYNGA INC
✨Show Your Passion for Gaming
Make sure to express your genuine enthusiasm for video games and the mobile gaming industry. Share specific examples of games you enjoy and how they inspire your work in data science.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with machine learning, statistics, and programming languages like Python and SQL. Bring examples of past projects where you've successfully applied these skills to solve real-world business problems.
✨Communicate Clearly
Practice translating complex technical concepts into simple, compelling narratives. This is crucial as you'll need to present findings to both technical and non-technical audiences, including executive leadership.
✨Highlight Leadership Experience
Discuss your experience in leading teams and mentoring data professionals. Provide examples of how you've influenced cross-functional stakeholders and driven data science initiatives that had a significant impact on business outcomes.