Senior Data Scientist jobs at Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY USER GROWTH? As a Senior Data Scientist in our User Growth group, you will be at the forefront of driving our understanding of user engagement across markets. By leveraging your expertise in data science, statistics, and causal inference, you will play a crucial role in enhancing user growth strategies with deep market . You will collaborate cross-functionally to drive actionability and develop analytics frameworks and tooling solutions to inform our business outlook. You Will: Lead central user engagement strategy, drive the analytical roadmap to expand engagement breadth and depth across international markets Develop and refine user metrics to increase engagement and inform product-led growth strategies in strategic countries Own the analytical roadmap for evaluating regional growth outreach initiatives and product strategies Enhance and standardize data tooling and frameworks, particularly around business foresight building at regional level to enable reliable and actionable insights Work closely with leadership to deliver clear, data-driven insights on company metrics movements and their key drivers to inform decision-making You Have: An advanced degree in a quantitative field such as Statistics, Economics, Computer Science, or a related discipline. Minimum of 5 years of experience in a data science role, with a focus on marketing science and campaign evaluation. Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design. Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools. Experience developing time-series forecasts, leveraging models such as Prophet. Experience in the gaming industry and/or multi-sided marketplaces. Familiarity with key insights and communicating succinctly to Director+ leadership. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$258,500-$316,480 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY ECOSYSTEM AND LEARNING PLATFORM? The mission of the Ecosystem and Learning Platform Data Science team is to empower vertical data science teams and drive data-informed decision-making at scale. We do so by collaborating with vertical data science and cross-functional partners to solve complex business problems that span multiple areas of the Roblox ecosystem, develop scalable data science solutions and tools, and advance data science methodologies. Central to our mission are platformized tools that provide comprehensive solutions for company-wide experimentation, forecasting and anomaly detection needs, integrate diverse data sources, and offer scalable, accessible data science products that yield actionable insights for product areas across Roblox. As a member of this team, you will collaborate with product data science partners to develop and support core data science and machine learning models, and build platform solutions that streamline the model development and deployment process. You will also collaborate with product data science and cross-functional partners to bring structure and innovative solutions to complex business problems. In the process, you will help build cutting-edge methodologies and tools that advance data science within our company and set industry standards. If you are a self-starter who is curious and passionate about leveraging big data to create tangible business value and thrive in a dynamic, collaborative, and innovative environment, this is the place for you. You Will: Develop and support core data science models and production pipelines used across the business. Support the development and operations of a centralized platform for time series forecasting and anomaly detection. Collaborate with data science and product partners to develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify complex cause-and-effect relationships within the Roblox ecosystem. Promote and uphold a high bar of technical excellence and enable the adoption of technical advances in data science. Work closely with engineering and product partners to build scalable data science systems and tools. Own the implementation and maintenance of DS self-serve tools and proactively identify opportunities to scale experimentation, causal modeling, and analytics insights through tooling and methodology. Communicate effectively with technical and non-technical stakeholders to solve problems and influence decisions. Cultivate strong partnerships with vertical data science teams, engineering, and product partners. You Have: An Advanced Degree (MSc or PhD) in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. 4+ years in developing and applying statistical methods, causal inference techniques, experiment design and analysis, time series modeling, or machine learning. 4+ years of experience building scalable ETL data pipelines and dashboards. 4+ years of experience in data science, machine learning, data engineering, analytics engineering or related fields. 4+ years of experience in one or more scripting languages, such as Python. Demonstrated ability to lead or build project areas from scratch. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$258,500-$316,480 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY GENERATIVE AI? Our team's mission is twofold: to enable Roblox Creators to bring GenAI capabilities to millions of users, and to empower Roblox Creators and our own engineers with AI-backed tools to deliver value faster. We drive this innovation with a core commitment to safety, responsibility, and quality. As a Senior Data Scientist, you will play a critical role in one of two key focus areas: GenAI Product: Evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D) Engineering Efficiency and Code Intelligence: Building the metrics, analytics, experimentation foundation, and AI workflow that powers how Roblox engineers and creators build and ship with AI and intelligent code systems. Whether you are focused on the end-user experience or the developer ecosystem, you will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements. You Will: Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D) or internal AI Agents (Code Review, Refactor, Test Gen). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods. Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features or AI-assisted coding tools. You will identify opportunities, measure lift, and ensure statistical rigor. Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators-whether for GenAI safety and user satisfaction, or for engineering productivity and code health. Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling and agentic workflows that lift rigor and efficiency across the company. Drive Strategy & Visibility: Develop dashboards and reporting frameworks that reveal trends (e.g., model performance or developer friction) and translate complex data into clear, prioritized recommendations for leadership. You Have: Advanced Degree: PhD or Master's in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field. Experience: 5+ years of experience in data science, analytics, or a quantitative role. Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling. Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact. Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact. Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field. GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation). Engineering Development Workflow: Experience with engineering development workflows and engineering efficiency data is a plus for the Engineering Efficiency and Code Intelligence role. Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$217,040-$258,500 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY CONTENT SAFETY? Content safety and moderation are paramount to maintaining a positive, engaging, and trustworthy platform experience for our global community. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. Your focus will be on asset-based content across the platform - including games, avatars, and emerging in-game behaviors - by establishing reliable ground truth datasets and developing robust prevalence measurement methodologies. You will collaborate closely with Product, Engineering, Legal, Policy, and Compliance teams, acting as the quantitative expert who guides our defensive strategy against evolving safety threats and ensures accountability and scalable solutions. This is a critical opportunity to build innovative detection systems, define what we measure, and prove the impact of our safety efforts. You Will: Establish and monitor robust prevalence measurement methodologies to accurately quantify the overall level of harmful content and behavior on the platform, providing the authoritative source of truth for organizational safety goals. Develop and validate comprehensive ground truth datasets for harmful UGC and violative on-platform behaviors, ensuring high quality and alignment with the latest platform policies. Deepen our understanding of violations by conducting exploratory analysis on current and emerging threat landscapes, providing data-backed recommendations on where Product and Engineering should strategically invest detection and moderation resources. Design, implement, and analyze sophisticated experiments for new moderation and safety enforcement features, communicating results to our primary partners in Product and Engineering to guide development, while also collaborating closely with Policy, Compliance, and Legal teams for full strategic alignment. Leverage advanced causal inference methodologies to accurately measure the effectiveness and potential systemic impacts of various safety initiatives on player experience and platform integrity. Communicate strategic insights and present recommendations to leadership and all cross-functional partners, translating complex statistical findings on prevalence, ground truth quality, and effectiveness into actionable strategies for Product, Engineering, Policy, Compliance, and Legal. Partner with ML and Data Engineering teams to ensure model development, reporting, and detection systems are built on statistically sound ground truth and measurement frameworks. You Have: 10+ years of industry experience in data science, economics, analytics, or machine learning engineering 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow Knowledge of ML and Deep Learning either via formal training or industry experience Ability to apply creative first-principles reasoning to solve ambiguous problems Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$316,480-$366,350 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY ECOSYSTEM AND LEARNING PLATFORM? We empower our data science organization and drive data-informed decision-making at scale. We do so by collaborating within data science and with cross-functional partners to tackle sophisticated business problems that span multiple areas of the Roblox ecosystem, by developing scalable solutions and tools, and by applying advanced data science methodologies. We are responsible for an experimentation and insights platform that provides comprehensive solutions for company-wide experimentation needs, integrates diverse data sources, and offers scalable, accessible data science products that yield actionable insights for product areas across Roblox. As a member of this team, you will be crucial in ensuring the successful execution of hundreds of experiments on the platform. This is an exciting opportunity to collaborate with product data science partners to bring structure and build innovative solutions. In the process, you will help build ground breaking methodologies and tools that advance data science within our company and set industry standards. If you are a self-starter who is curious and passionate about using big data to build tangible business value and thrive in a dynamic, collaborative, and innovative environment, this is the place for you! You Will: Provide expert support and guidance for vertical data science teams in experiment design, analysis, and troubleshooting. Proactively find opportunities and implement solutions to streamline analytic operations in experimentation. Develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify sophisticated cause-effect relationships within Roblox ecosystem. Design, build and maintain robust, production-ready data science systems and tools in collaboration with engineering partners. Help scale experimentation, causal inference, and analytics insights through tooling and methodology. Nurture positive relationships with the data science, engineering and product teams. You Have: A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. 3+ years developing, applying and productionizing statistical methods and machine learning techniques in scalable systems. 3+ years of experience in data science or related fields. Strong ability using SQL, Hive or Spark to transform/manipulate large datasets. Extensive experience in one or more scripting languages, such as Python or R. Proven track record to lead or build project areas from scratch.

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of our business decisions and to empower and scale product innovations. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. WHY SOCIAL? Roblox is a highly social platform with billions of user connections we are actively building a variety of social products to nurture an engaging experience. This role will work closely with our Communities team to create world class community products that connect and deepen social interactions across our network of developers, brands, influencers, and users. You will leverage your technical and analytics chops to design experiments and product strategies to grow Roblox Communities, while contributing to connections, communications, social sharing, etc. This role will report directly into Senior Data Science leadership, and collaborate closely with our Director of Product and Senior Engineering / Design leadership. You Will: Inform, develop and execute on product strategies in service of Roblox Communities growth. Create and own data foundations, metrics, analytics and reporting tools. Design experiment and quasi-experimental measurement plans to evaluate Community products. Partner closely with product and engineering teams to identify new product opportunities. Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights. Collaborate and synergize with the rest of the social product team. You Have: An Advanced or equivalent Degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or related discipline. 4+ years of industry or equivalent experience in Data Science and Analytics 4+ years of experience using big data query/processing languages such as SQL, Hive, or Spark to transform/manipulate extensive datasets 2+ years of experience in designing experiments, ideally with exposure to causal inference methodologies. 2+ years of experience in one or more scripting languages such as Python or R Experience using data results and data storytelling to influence product teams and leaders

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY ECOSYSTEM AND LEARNING PLATFORM? The mission of the Ecosystem and Learning Platform Data Science team is to empower vertical data science teams and drive data-informed decision-making at scale. We do so by collaborating with vertical data science and cross-functional partners to solve complex business problems that span multiple areas of the Roblox ecosystem, develop scalable data science solutions and tools, and advance data science methodologies. Central to our mission are platformized tools that provide comprehensive solutions for company-wide experimentation, forecasting and anomaly detection needs, integrate diverse data sources, and offer scalable, accessible data science products that yield actionable insights for product areas across Roblox. As a member of this team, you will collaborate with product data science partners to develop and support core data science and machine learning models, and build platform solutions that streamline the model development and deployment process. You will also collaborate with product data science and cross-functional partners to bring structure and innovative solutions to complex business problems. In the process, you will help build cutting-edge methodologies and tools that advance data science within our company and set industry standards. If you are a self-starter who is curious and passionate about leveraging big data to create tangible business value and thrive in a dynamic, collaborative, and innovative environment, this is the place for you. You Will: * Develop and support core data science models and production pipelines used across the business. * Support the development and operations of a centralized platform for time series forecasting and anomaly detection. * Collaborate with data science and product partners to develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify complex cause-and-effect relationships within the Roblox ecosystem. * Promote and uphold a high bar of technical excellence and enable the adoption of technical advances in data science. * Work closely with engineering and product partners to build scalable data science systems and tools. * Own the implementation and maintenance of DS self-serve tools and proactively identify opportunities to scale experimentation, causal modeling, and analytics insights through tooling and methodology. * Communicate effectively with technical and non-technical stakeholders to solve problems and influence decisions. * Cultivate strong partnerships with vertical data science teams, engineering, and product partners. You Have: * An Advanced Degree (MSc or PhD) in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. * 4+ years in developing and applying statistical methods, causal inference techniques, experiment design and analysis, time series modeling, or machine learning. * 4+ years of experience building scalable ETL data pipelines and dashboards. * 4+ years of experience in data science, machine learning, data engineering, analytics engineering or related fields. * 4+ years of experience in one or more scripting languages, such as Python. * Demonstrated ability to lead or build project areas from scratch.

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY USER GROWTH? As a Senior Data Scientist in our User Growth group, you will be at the forefront of driving our understanding of user engagement across markets. By leveraging your expertise in data science, statistics, and causal inference, you will play a crucial role in enhancing user growth strategies with deep market . You will collaborate cross-functionally to drive actionability and develop analytics frameworks and tooling solutions to inform our business outlook. You Will: * Lead central user engagement strategy, drive the analytical roadmap to expand engagement breadth and depth across international markets * Develop and refine user metrics to increase engagement and inform product-led growth strategies in strategic countries * Own the analytical roadmap for evaluating regional growth outreach initiatives and product strategies * Enhance and standardize data tooling and frameworks, particularly around business foresight building at regional level to enable reliable and actionable insights * Work closely with leadership to deliver clear, data-driven insights on company metrics movements and their key drivers to inform decision-making You Have: * An advanced degree in a quantitative field such as Statistics, Economics, Computer Science, or a related discipline. * Minimum of 5 years of experience in a data science role, with a focus on marketing science and campaign evaluation. * Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design. * Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools. * Experience developing time-series forecasts, leveraging models such as Prophet. * Experience in the gaming industry and/or multi-sided marketplaces. * Familiarity with key insights and communicating succinctly to Director+ leadership.

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY ANALYTICAL DATA PRODUCT? This role will work very closely with Product Managers, Engineers, and other Data Scientists to build best-in-class Safety products. Roblox has unique safety challenges in the content moderation space and in understanding user identity, and this role powers company-wide decision making about critical safety issues. This role combines technical expertise in analytics data engineering and data science, focused on building analytics products and empowering teams with actionable insights. You will play a key role in creating foundational datasets, maintaining scalable data systems, and delivering world-class visualizations and insights to deepen our understanding of users. This role will report directly into Senior Data Science leadership. . You Will: * Create and manage foundational datasets that power company-wide reporting and analytics use cases. * Build interactive data tools and dashboards to deepen our understanding of our Safety systems. * Build production-level quality and anomaly and monitoring on some of our most critical internal models * Scale our data foundation while maintaining high data quality, scalability, and reliability. * Define key metric frameworks in collaboration with cross-functional partners and data scientists. * Use your understanding of business logic and technical expertise to solve complex data challenges. You Have: * An Advanced or equivalent Degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or related discipline. * 6+ years of industry or equivalent experience in Data Science and Analytics. * 6+ years of experience with SQL and data visualization. * 4+ years of experience in analytical engineering or similar role * Experience with data mining, warehousing and building ETL pipelines. * Experience working with complex datasets in the safety, social, compliance, or growth domain and/or gaming industry * Experience in scripting languages like Python or R for data manipulation. You Are: * Passionate about leveraging data solutions to drive decisions and optimize business performance. * Strive to write elegant and maintainable code, clear documentations and comfortable with picking up new technologies * Strong product mindset and data intuition. Keen to apply analytical and data engineering skills to translate business problems into scalable engineering solutions, and experience thinking about the data itself as a product * An expert at transforming data with SQL and a scripting language such as Python or R. You're experienced in automating efforts and crunching massive volumes of data in distributed systems using frameworks such as Spark, Hadoop or Flink. * Motivated by impact. You find satisfaction in being able to point to direct contributions you've made to an organization. You recognize the inherent tradeoffs between further research/experimentation and productionization apply the appropriate methodology to maximize impact. * A strong communicator. You understand that analysis must be presented in meaningful ways and engage in spirited discussions about the findings. You have the ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY GENERATIVE AI? Our team's mission is twofold: to enable Roblox Creators to bring GenAI capabilities to millions of users, and to empower Roblox Creators and our own engineers with AI-backed tools to deliver value faster. We drive this innovation with a core commitment to safety, responsibility, and quality. As a Senior Data Scientist, you will play a critical role in one of two key focus areas: * GenAI Product: Evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D) * Engineering Efficiency and Code Intelligence: Building the metrics, analytics, experimentation foundation, and AI workflow that powers how Roblox engineers and creators build and ship with AI and intelligent code systems. Whether you are focused on the end-user experience or the developer ecosystem, you will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements. You Will: * Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D) or internal AI Agents (Code Review, Refactor, Test Gen). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods. * Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features or AI-assisted coding tools. You will identify opportunities, measure lift, and ensure statistical rigor. * Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators-whether for GenAI safety and user satisfaction, or for engineering productivity and code health. * Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling and agentic workflows that lift rigor and efficiency across the company. * Drive Strategy & Visibility: Develop dashboards and reporting frameworks that reveal trends (e.g., model performance or developer friction) and translate complex data into clear, prioritized recommendations for leadership. You Have: * Advanced Degree: PhD or Master's in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field. * Experience: 5+ years of experience in data science, analytics, or a quantitative role. * Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling. * Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact. * Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact. * Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field. * GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation). * Engineering Development Workflow: Experience with engineering development workflows and engineering efficiency data is a plus for the Engineering Efficiency and Code Intelligence role. * Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS (DSA)? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY ANALYTICAL DATA PRODUCT FOR SOCIAL DSA? This role will work closely with Product and Engineering Managers, and Data Scientists to build best-in-class social products. Roblox is a highly social platform with billions of friendships, and our product teams are pioneering the way users interact in the metaverse. You will combine your technical expertise in analytics data engineering and data science, focused on building analytics products and empowering teams with actionable insights. You will play a key role in creating foundational datasets, maintaining scalable data systems, and delivering world-class visualizations and insights to deepen our understanding of users. This role will report directly into Senior Data Science leadership. This position is a 3-month temporary role based in our San Mateo HQ office, eligible for overtime pay. You Will: Build scalable data solutions by owning and developing scalable ETL data pipelines and dashboards to support the social products. Contribute to logging / telemetry design on key new product launches. Optimize existing data pipelines and transform them into clean, consumable aggregates to empower analytics, reporting and research. Contribute to the robust foundational data infrastructure to support the social data science pillar. Conduct ad hoc, descriptive and exploratory analysis in collaboration with data scientists on the team as needed You Have: An advanced or equivalent degree in Computer Science, Mathematics, Statistics or a related discipline. Minimum of 2 years of experience in data engineering, analytical engineering or similar role. Strong data engineering skills, including experience with large datasets, telemetry logging, and data pipeline development. Strong communication, good judgment, growth mindset to solve new and unique challenges with high independence. Experience with metric design, data visualization, including dashboard design and implementation, social product and gaming industry is a plus. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits on this page are applicable to this hourly position. Hourly Pay Range$124.27-$152.15 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Data Scientist supporting the Creator Content Engineering team, you will shape the future of Roblox's creator ecosystem by bringing rigorous analysis, experimentation, and data engineering to some of the most strategic areas of the platform-including asset creation, music, and IP infrastructure. You will report to the Director of Data Science for Creation Products and you will partner closely with product and engineering leads to define success, design and evaluate experiments, and generate insights that directly inform product strategy and execution. You'll also build and maintain the pipelines and dashboards that scale data access and ensure the team has the analytical foundations to make high-impact decisions at speed. You will: Design, implement, and analyze A/B experiments and quasi-experimental studies to evaluate the impact of new product features and platform changes. Partner with product managers and engineering leads to define key success metrics, evaluate tradeoffs, and translate analytical findings into clear, actionable product recommendations. Build, maintain, and scale reliable data pipelines and dashboards to ensure accurate and timely visibility into team metrics and platform health. Conduct deep-dive analyses on creator behavior, asset usage, and platform dynamics to identify opportunities for product innovation and optimization. Leverage econometric techniques and machine learning methods to uncover deeper insights, measure causal impact, and generate strategic recommendations that guide product direction. Collaborate cross-functionally with engineering, product, and other data teams to drive alignment on measurement strategy, data definitions, and analytical priorities. Communicate complex analytical findings clearly and persuasively to technical and non-technical stakeholders, enabling data-informed decision-making at all levels of the organization. Contribute to the design of scalable data and experimentation frameworks that support the growth of Roblox's asset, music, and IP platforms. Act as a thought partner to leadership, helping to shape team strategy through data-driven insights and a deep understanding of creator workflows. You have: 2+ years of industry experience in analytics 2+ years of experience in statistical modeling and machine learning 4+ years of experience using big data query/processing languages such as SQL, Hive or Spark to transform/manipulate very large datasets 2+ years of experience in one or more scripting languages such as Python or R BA/BS degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics or other technical field, or equivalent experience. You are: MS/MA degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics or other technical field, or equivalent practical experience. 2+ years of industry experience in a leadership role collaborating with cross functional partners 4+ years of experience in fast-paced environment or fast growing company, such as the tech sector Experience working with infrastructure teams and content platforms, particularly user-generated content Ability to communicate analytics results and data storytelling to influence product teams and leaders Experience working with ML and Neural Networks tools to enable AI assisted creation. Knowledge of Econometric Techniques, Causal ML, and Meta learners for product impact evaluation For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$217,040-$258,500 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The People Science team at Roblox supports our Talent Acquisition organization and broader People, Places, & Systems group with applied statistics and data science. Our core mission is leveraging qualitative and quantitative data to drive decisions and optimize processes across the talent lifecycle. This is a hands-on, stakeholder-centric role focused on maximizing the operational efficiency of Recruiting. You will join a high-impact group dedicated to translating complex data into clear, actionable tools and insights. Success means empowering our leadership to scale hiring efforts through data solutions that are not only accurate but also actionable and adopted. Role is based in our San Mateo, CA HQ and reports to Manager, People Data Science You will: Deliver self-service analytical products and reporting dashboards to recruiters and business leaders to enable data-driven operational decisions. Leverage and contribute to the core data models owned by People Analytics, ensuring the underlying data logic is understood, accurately represented, and efficiently utilized in all downstream products. Partner with stakeholders to define key recruiting metrics and develop KPI dashboards that drive operational excellence across time-to-hire, sourcing effectiveness, and recruiter performance. Serve as a trusted advisor to Talent Acquisition leadership by translating complex cross-functional data into clear, compelling narratives and actionable strategic recommendations. Conduct in-depth analytical deep dives and scientific inquiry focused on optimizing operational processes, such as resource planning, funnel efficiency, and forecasting hiring needs. Drive the adoption of new visualization and analytics tools (e.g., Hex) by training and enabling recruiters and leaders to effectively leverage the data products you build. Support data governance and improve data processes in partnership with People Analytics and Recruiting Operations to ensure the reliability and quality of our core recruiting datasets. You have: 5+ years of professional experience in a Data Analyst, People Analytics, or Business Intelligence role, with a strong focus on data visualization and reporting. A Master's degree in a quantitative field such as Statistics, Economics, Business Analytics, or a related discipline, OR equivalent demonstrated experience. Expert-level proficiency in SQL for querying, wrangling, and optimizing large datasets, including Common Table Expressions (CTEs) and window functions. Strong proficiency in data analysis and scripting using Python or R (expertise in at least one is required) for data wrangling, modeling, and reporting. Proven ability to design high-impact, user-friendly data visualizations using Business Intelligence software such as Tableau, Looker, or similar. Exceptional communication and stakeholder management skills, with a track record of simplifying complex data for senior, decision-making audiences. Prior experience in Talent Acquisition or People Analytics is highly preferred. You are: Committed to clarity. You provide clarity through all your work products: your code, your documentation, your project plans, your visualizations, your presentations, and your strategic recommendations. Systematic and efficient. You don't like to solve the same problem twice, and you are always on the lookout for reusable solutions. You create well-documented systems and procedures rather than approaching each new problem in isolation. Curious and skeptical. With a new dataset or business question, you are driven to explore relationships and constantly ask yourself why a particular result is occurring. Impact-focused. You are keenly aware that the true value of data lies in its adoption, and you prioritize stakeholder enablement and tool usability to ensure your work drives measurable business outcomes. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$194,770-$238,600 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY ROBLOX? Every day, tens of millions of people from around the world come to Roblox to play, learn, work, and socialize in immersive digital experiences created by the community. Our vision is to build a platform that enables shared experiences among billions of users. This is what's known as the metaverse: a persistent space where anyone can do just about anything they can imagine, from anywhere in the world and on any device. Join us and you'll usher in a new category of human interaction while solving exceptional challenges that you won't find anywhere else. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and creators. WHY CREATOR DATA SCIENCE? For a data scientist, the Roblox Creator ecosystem is a fascinating and complex system that provides an endless supply of deeply interesting and impactful problems. How to accurately quantify the impact of changes to our creation tools (think Roblox Studio) on the overall health of the platform? How to precisely value experiences and content? What kind of data insights can we provide to help Roblox excel in every genre and type of experience, from platform games to first-person-shooters? A key mission for our creator group is to cultivate a diverse community of proficient creators, and help them mature into thriving businesses. As a data scientist, you will be a key partner to our product and engineering teams to shape the direction of this team. You'll partner with data scientists, product managers, engineers and leaders across the company to better understand our creators and the resources that best support their success. You Will: Build innovative and scalable data products and analyses to empower our creator community. Design experiments or causal studies to quantify impact from creator facing product feature launches. Define metrics to evaluate success and build dashboards to track progress. Influence how Roblox interacts with its players and its platform creators to accelerate creator velocity. Be a strategic thought partner that uses data and insights to drive growth. Provide technical mentorship and expertise that multiplies the contributions of data scientists across the org. Build, maintain, and scale reliable data pipelines and dashboards to ensure accurate and timely visibility into team metrics and platform health. You Have: Bachelor's or equivalent degree in Statistics, Computer Science, Physics, Applied Math, Economics, Engineering or other related quantitative fields 3+ years of industry experience in Data Science and Analytics Experience developing a vision, roadmap, datasets, and tooling in a nascent area Knowledge of statistics fundamentals to support experimental design and causal analysis Experience with exploratory data analysis, data analysis to inform product design decisions, statistical analysis and testing, and machine learning model development Experience building data pipelines and dashboards yourself. Domain knowledge related to gaming, communication, education, building out a platform, and/or enabling creators. Experience with data visualization and / or building an analytics platform Experience working on customer support, relations, and / or services Experience working on the creator/seller/producer/content side of platforms. You Are: Passionate about data. You have the curiosity and self-drive to continuously learn new techniques and tools to extract value from data. A strong communicator. You understand that analysis must be presented in meaningful ways and engage in spirited discussions about the findings. You have the ability to explain technical concepts to executives and non-technical audiences and discuss appropriate tradeoffs. A capable statistician. You understand the value of characterizing data by its distribution. Covariance, Bias, and Conditional Probability are concepts that you rely on every day. Experienced in experimentation and developing models to draw insights from data. You use experimentation, causal inference, and other statistical techniques to create scalable solutions to solve difficult business problems. You understand when to apply the appropriate methodology to maximize impact in a pragmatic fashion. Excited about building your own data pipelines and dashboards. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$182,230-$217,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The People Science & Analytics team at Roblox partners with our People, Places, & Systems organization to apply data science, applied statistics, and analytics to our internal operations. We deliver insights and solutions that shape Roblox's approach to leadership, people development, and organizational culture. As a Data Scientist in the People Analytics pod, you will join this team to solve complex challenges using qualitative and quantitative data, driving strategic decisions across the company. We are responsible for developing and managing Roblox's HR data warehouse, analytical tools, and reports which support data-driven HR initiatives and are used by internal stakeholders throughout the company. You will: Serve as an analytics consultant to key partners in HR, Talent Acquisition, and Finance where you will apply your expertise in data science, applied statistics and analytics engineering to build tooling and identify insights that drive strategic and operational improvement - domains located below. Conduct end-to-end analyses on large, complex datasets to diagnose operational challenges, tell a compelling story, and provide actionable recommendations to executive leadership. Design, build, and maintain data products and automated workflows that scale our team's analytical offerings and support our partners' long-term needs. Uphold a high standard for data integrity and analytical rigor, working through ambiguity to produce clear, defensible insights. You have: A MBA / Master's degree, PhD, or equivalent experience in Data Science Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. 4+ years of professional experience with SQL. 4+ years of statistical programming in R/Python and/or analytics engineering experience in Python 4+ years of professional experience with BI Tools (Tableau, Looker, Hex, etc.) Proven ability to execute complex and cross functional projects from ideation through completion. Strong interpersonal skills and the ability to work through ambiguity to delivery on projects that have driven organizational change. Proven ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs. Highly self-driven and intellectually curious with a growth mindset focused on maximizing organizational impact. A consistent track record to learn quickly and works well both independently as well as in a team setting. At least two or more of the following: 2+ years of experience with enterprise HR/People data systems (e.g., Greenhouse, Workday, Qualtrics) and/or experience working with non-technical operations teams. 2+ years of experience in causal inference, experimental design, and statistical modeling. 2+ years of experience with data orchestration and transformation tools (e.g., Airflow, dbt) and deploying data pipelines. People Analytics Domains at Roblox Talent Acquisition Employee Performance Programs Workforce Planning People Data Governance Facilities and Office Planning HR Operations Partnering with Internal Tooling to build people products Building our People Datalake For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range$157,450-$194,770 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY DISCOVERY EXPERIENCES? We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders, you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges. You Will: Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints. Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams. Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes. Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects. Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments. Design and implement experiments for new features and communicate results succinctly to non-technical audiences. Report directly to the Senior Director, Data Science on the consumer You Have: Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields 10+ years of industry experience in data science, economics, analytics, or machine learning engineering 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow Knowledge of ML and Deep Learning either via formal training or industry experience Ability to apply creative first-principles reasoning to solve ambiguous problems Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY CORE ENGINE? The Core Engine team is missioned to build world-class elastic game engine technology that powers engaging experiences. We build the core technology that powers our 3D worlds including rendering, simulation, networking and systems. As a Senior Data Scientist, you'll partner with engineers, data scientists, technical program managers, and leaders across the company in our efforts to improve the quality and performance of our game engine and the user generated content that runs on top of it. Your work will touch every part of the engine, from threading and memory management to physics and scripting. You will define top line metrics and measure the impact of critical features and improvements, while discovering areas of opportunity through dashboards, analysis and A/B experiments. You will report directly to the Data Science Leader overseeing our Core Engine / Creator DSA team. You Will: Establish success metrics for Engine Systems performance -- e.g. what systems performance metrics matter to the end-users? How are Engine performance affecting user engagement and monetization? Operationalize and scale metrics monitoring. Build dashboards that enable quick slice and dice as well as root cause analysis. Work with engineers to detect and investigate abnormal trends. Identify opportunities to improve. Understand how networking, rendering, simulation and more help build a fast, scalable and engaging experience through the game engine. Apply dynamic approaches to improve user experience from the Engine perspective by controlling these factors. Navigate uncharted areas and collaborate with partners across different organizations including Engine, Growth, and Creator teams. Access raw data, and then transform it, analyze it, and render it in a compelling way - all using a custom analytics tool kit built from state-of-the-art open-source libraries. Use A/B experiments and causal inference to determine success of product feature launches. Influence how Roblox provides a better experience for the community of players and developers. You Have: Advanced or equivalent degree in Statistics, Computer Science, Physics, Applied Math, Economics, Engineering or other related quantitative fields 10+ years of relevant industry or equivalent experience; background in game engine, system performance, etc. Data engineering experience. e.g. telemetry logging, data pipeline building, dashboard design Experience applying creative first-principles reasoning to solve ambiguous problems Experience leading and presenting analytics results and enjoy data storytelling to influence engineering teams and leaders Experience driving an area as an individual contributor and thought leader

Why Data Science & Analytics? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. Why Marketplace at Roblox? Roblox is building the largest online marketplace for virtual goods that enable and advance self-expression and identity, and offer an earning opportunity for a large creative community. This marketplace is a core part of democratizing creation and online identity. In this space, as a Data Scientist for Marketplace, you will leverage your expertise in product analytics, data infrastructure, and experimentation to inform and evaluate the growth of the marketplace. By building robust data foundations, your insights will be essential to understanding platform activity and building the best avatar marketplace for our millions of users and creators. You will collaborate with a team of data scientists and economists, along with cross-functional partners, to implement data-informed strategies that maximize the impact for our community. This role is essential to our long-term strategy and you will report to the Senior Data Science Manager, Marketplace. You Will: Partner directly with Marketplace leadership (product and engineering) to provide insights that accelerate product development and innovation. Develop and own strategic data initiatives, including building and maintaining core dashboards and reports that track the health of the marketplace. Design, execute, and analyze A/B tests to measure the impact of new features and inform product decisions. Architect and build robust data pipelines to support analytics, reporting, and modeling needs. Conduct deep-dive analyses to understand user behavior, identify opportunities for growth, and solve ambiguous business problems. Contribute to the team's science roadmap by identifying key areas for analysis and experimentation. You Have: 4+ years of industry experience in data science, product analytics, or a related quantitative role. Expertise in SQL and experience using scripting languages for data analysis (e.g., Python, R). Proficiency in developing data pipelines and working with big data technologies (e.g., Spark, Hive, Airflow). Strong experience in experimental design (A/B testing) and statistical analysis. A proven track record of translating complex data into actionable insights and communicating them to stakeholders. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, or a related field).

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY INFRASTRUCTURE? The Core Engine team is missioned to build world-class elastic game engine technology that powers engaging experiences. We build the core technology that powers our 3D worlds including rendering, simulation, networking and systems. As a Principal Data Scientist, you'll partner with engineers, data scientists, technical program managers, and leaders across the company in our efforts to continually improve the quality and performance of our game engine and the user generated content that runs on top of it. Your work will touch every part of the engine, from threading and memory management to physics and scripting. You will define KPI's and measure the impact of key features and improvements, while discovering areas of opportunity through dashboards, analysis and A/B experiments. You Will: Establish success metrics for Engine Systems performance. For example, what systems performance metrics matter to the end users? How are Engine performance impacting user engagement and monetization? Operationalize and scale metrics monitoring. Build dashboards that enable quick slice and dice as well as root cause analysis. Work with engineers to detect and investigate abnormal trends. Identify opportunities to improve. Understand how networking, rendering, simulation and more contribute to building a fast, scalable and engaging experience through the game engine. Optimize user experience from the Engine perspective by dynamically controlling these factors. Navigate ambiguity and collaborate with stakeholders across various organizations including Engine, Growth, and Creator teams. Access raw data, and then transform it, analyze it, and render it in a compelling way - all using a custom analytics tool kit built from state-of-the-art open-source libraries. Use A/B experiments and causal inference to determine success of product feature launches. Influence how Roblox provides a better experience for the community of players and developers. You Have: Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, Engineering or other related quantitative fields 8+ years of relevant industry experience, preferably with background in game engine, system performance, etc. Strong data engineering experience. e.g. telemetry logging, data pipeline building, dashboard design Demonstrated ability to drive an area as an individual contributor and thought leader Ability to apply creative first-principles reasoning to solve ambiguous problems Ability to communicate analytics results and data storytelling to influence engineering teams and leaders