Senior Data Scientist

Careers Category: Data, Analytics & User Research

Careers location: Austin, TX; Toronto, Canada

Connected Worker Type: Connected

Requisition Id: R_112324

Zynga is a leading developer of the world’s most popular social games, played by tens of millions of people around the world each day. To date, more than 1 billion people have played our games across Web and mobile, including FarmVille, Zynga Poker, Words With Friends, Harry Potter: Puzzles & Spells, Merge Dragons!, Empires & Puzzles, Hit it Rich! Slots, Toy and Toon Blast, and CSR Racing.

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.

Main 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

• Competitive salary, bonus plan and ESPP (Employee Stock Purchase Plan)
• 401K Company Match Contribution (US)
• RRSP/DPSP company match contribution (Canada)
• Health coverage, dental, disability, critical illness, EAP, and life insurance (Canada)
• Medical, dental, vision, EAP, life insurance, and disability benefits (US)
• Virtual mental health and neurodiversity support programs
• Global Fitness reimbursement program
• Global Wellbeing Program
• Financial wellness program with unlimited access to certified financial planners
• Discretionary Time Off policy for many employees
• Family planning support program
• Generous paid parental, pregnancy-related disability, caregiver, and compassionate leaves
• Zynga happy hours and frequent employee events
• Flexible working hours on many teams
• Culture of diversity and inclusion including employee resource groups
• Work with cool people and impact millions of daily player
  
  

We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!

We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.

We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at AccommodationRequest@zynga.com to request an accommodation associated with your application for an open position.

Zynga does not engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).

If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.