Senior Data Scientist (Full Stack)

1 Year ago • 4 Years +

Job Summary

Job Description

As a full-stack data scientist at Zynga, you will develop end-to-end solutions using machine learning, software engineering, and business analytics to scale across the company's portfolio. Responsibilities include using modern tech stacks, applying statistical methodologies, implementing machine-learning pipeline technologies, providing thought leadership, and designing in a CI/CD environment. This role demands technical excellence, architectural thinking, and a mature sense of timelines. You will be entrusted with key initiatives and given a fair amount of autonomy. The role is for building core products for measurement, optimization, and automation of marketing, publishing, and product functions.

Must have:

Strong statistical background building sophisticated models.
Experience exploring and implementing innovative ML/AI methods.
Experience crafting large-scale ML pipelines.
Full-stack knowledge, especially around software-engineering principles.
Strong mentorship skills.
BS in Computer Science, Math, Statistics, Economics, or other quantitative field.

Perks:

World-class benefits package

12 skills required

12 skills required for this role

Add these skills to join the top 1% applicants for this job

ci-cd

aws

python

sql

data-science

tableau

business-analysis

innovation

automated-testing

onboarding-process

talent-acquisition

team-management

Job Details

Level Up Your Career with Zynga!

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.

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! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, 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. 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!

The Platform ML team is a group of full-stack data scientists charged with building core products for the measurement, optimization, and automation of marketing, publishing, and product functions across this vast portfolio. These ML products are vital to Zynga’s success, informing all facets from operational and executive decision-making.

As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond. You will be entrusted with key initiatives and given a fair amount of autonomy, so it is critical that you bring technical excellence, a mind for architecture, and a mature sense for timelines to this role.

Responsibilities:

Use our modern tech stack, AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to develop innovative tools
Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives
Implement groundbreaking machine-learning pipeline technologies to scale and propel the marketing, publishing, and product functions
Providing inventive thought leadership in the architecture of our pipelines
Design and develop in a CI/CD environment

Required Skills and Experience:

A strong statistical background building sophisticated models that can reasonably describe actual underlying data generation processes. Experience with Bayesian modeling preferred
Experience exploring and implementing innovative ML/AI methods and the ability to apply that knowledge broadly across our various data pipelines to improve efficacy and efficiency
Experience crafting large-scale ML pipelines using technologies such as AWS tools, Databricks, and Airflow. Proficiency in SQL and Python is needed
Full-stack knowledge, especially around software-engineering principles such as modularity, automated testing, and documentation
Strong mentorship skills
4+ years of work experience in data science, machine learning or analytics roles
BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters or PhD strongly preferred

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

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 scamp 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).