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10 Scopely Data Scientist Jobs Hiring Near You

Data Scientist, Marketing

San Francisco, CA · On-site

$141.80K - $202.50K/yr

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division ... We are seeking a quantitatively strong and business-oriented Data Scientist, Marketing to support ...

Scopely is a global gaming company whose mission is to inspire play every day. They are seeking a quantitatively strong and business-oriented Data Scientist, Marketing to support their global ...

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division ... We are seeking a quantitatively strong and business-oriented Data Scientist, Marketing to support ...

Scopely is looking for a Product Manager, Live Ops & Monetization to join our Marvel Strike Force ... Strong preference for candidates with a background in Data Analysis or Economy who have ...

Scopely is hiring a Senior Researcher to join our Research & Insights team to be responsible for ... Data Analytics) * Own user experience research end-to-end, including screener and survey design ...

$108.60K - $143.30K/yr

Scopely is looking for a Senior Product Manager, Live Ops & Monetization - Marvel Strike Force to ... Strong preference for candidates with a background in Data Analysis or Economy who have ...

Scopely Jobs Information

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most popular categories at Scopely?
Infographic showing various Data Scientist job openings at Scopely in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, and 14% Remote job distribution.
Data Scientist, Marketing

Data Scientist, Marketing

Scopely

San Francisco, CA • On-site

$141.80K - $202.50K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago


Job description

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely)'s mission is to inspire people to explore the world, together. We build products that inspire exercise, exploration, and social in-person interaction.
We are seeking a quantitatively strong and business-oriented Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks, analytical models, and scalable reporting solutions that inform user acquisition, brand investment, direct marketing (CRM), and long-term player growth.
This role is ideal for someone who combines strong technical skills with intellectual curiosity and a desire to understand how marketing investments translate into long-term player value. Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing is mandatory.
Responsibilities
User Acquisition (UA)
  • Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems.
  • Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals.
  • Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc.
  • Contribute to marketing mix modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited.
  • Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments.
  • Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods.
Direct Marketing
  • Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources.
  • Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns.
  • Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy.
Analytics Infrastructure & Workflow Efficiency
  • Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics.
  • Ensure data quality, documentation, and consistency across marketing data pipelines.
  • Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation.
  • Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders.
  • Contribute to responsible and thoughtful adoption of AI-powered analytics tools.
Qualifications
  • 1-5 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred).
  • Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM).
  • Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV.
  • Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments.
  • Proficiency in SQL and experience using Python (or similar) for analysis.
  • Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker).
  • Strong analytical, communication, and stakeholder management skills in a cross-functional environment.

Plus If...
  • Experience supporting brand or upper-funnel marketing measurement.
  • Exposure to marketing mix modeling or other aggregate-level measurement frameworks.
  • Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling.
  • Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools.
  • Experience working with global marketing teams across multiple regions.

For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
CA, CO, NJ, NY, and WA Annual Salary Range
$141,800-$202,500 USD
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world's most beloved and enduring experiences, including two of the most successful mobile games of all-time "MONOPOLY GO!" and "Pokémon GO," along with "Stumble Guys," "Star Trek™ Fleet Command," "MARVEL Strike Force," "WWE Champions," the Scrabble® franchise, "Yahtzee® With Buddies," and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry - bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team - including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely's position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like "MONOPOLY GO!" from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses - Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and "Best Workplaces for Innovators," Scopely believes that video games can be a force for good - creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.