Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference ... We are looking for a Data Science Manager - Games Product and Platform to lead a group of Data ...
Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference ... We are looking for a Data Science Manager - Games Product and Platform to lead a group of Data ...
... networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified ... causal inference experiments (synthetic control, difference-in-differences, uplift modeling)
... networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified ... causal inference experiments (synthetic control, difference-in-differences, uplift modeling)
... networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified ... causal inference experiments (synthetic control, difference-in-differences, uplift modeling)
... networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified ... causal inference experiments (synthetic control, difference-in-differences, uplift modeling)
... networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified ... causal inference experiments (synthetic control, difference-in-differences, uplift modeling)
Quick apply
... networks, CRM, call tracking) and the business data warehouse. Build and maintain a unified ... causal inference experiments (synthetic control, difference-in-differences, uplift modeling)
Research Associate
Salt Lake City, UT · On-site +1
... causal inference methodology (e.g., g-methods), predictive modeling, and interprets results ... Manages research projects from start to finish, including overseeing regulatory responsibilities ...
Research Associate
Salt Lake City, UT · On-site +1
... causal inference methodology (e.g., g-methods), predictive modeling, and interprets results ... Manages research projects from start to finish, including overseeing regulatory responsibilities ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
Manager Causal Inference information
How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?
Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
What does a Manager Causal Inference do?
A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?
To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
What are the most commonly searched types of Causal Inference jobs in Utah? The most popular types of Causal Inference jobs in Utah are:
What are popular job titles related to Manager Causal Inference jobs in Utah? For Manager Causal Inference jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Utah look for? The top searched job categories for Manager Causal Inference jobs in Utah are:
What cities in Utah are hiring for Manager Causal Inference jobs? Cities in Utah with the most Manager Causal Inference job openings:
Full-time
Posted 13 days ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
57th of 65 rated media
Job description
Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Data Science Manager - Games Product and Platform to lead a group of Data Scientists and Analytics Engineers who are essential partners to our Games Member and Games Studio Product teams in delivering amazing on-Netflix game product and platform experiences to our Players. You will lead a team that provides the data strategy, measurement and experimentation for all games product experiences.
To succeed in this role, you’ll need a blend of data science and analytics engineering expertise, coupled with exceptional business acumen. You should have a mindset focused on standardization, scalability, and systematic frameworks, and the ability to influence senior leaders across different disciplines. Your leadership will be key to ensuring the team provides the insights that shape our overall games strategy and drive our business forward.
What you will be responsible for:
You will enable the measurement, analytics and experimentation strategy for Games specific discovery features Players on Netflix interact with games specific surfaces to discover and engage with games content and the larger games ecosystem. You will both drive experimentation for games specific features, as well as collaborate with our member team on shared surface experiments.
You will enable the measurement, analytics and experimentation strategy for Games Platform features
As the Netflix Games platform expands, you will work directly with Product Managers as they build out game-adjacent features (Leaderboards, Achievements, Social etc) to track and measure their evolution.You will own the information flow of critical backend platform data Our internal development teams rely on device, crash and meta information on the performance of our services
You will coach and inspire a high-performing team. You\'ll provide guidance and mentorship, ensuring the team\'s work is scalable, consistent, and delivers high-impact insights that shape our games portfolio.
Who will be successful in this role:
You have demonstrated experience in building, managing, growing, and inspiring data science and analytics teams, with 10+ years of experience managing highly technical individual contributors.
You have a deep understanding of data science, analytics engineering, and business analytics, with a focus on standardization, scalability, and systematic frameworks.
You possess exceptional business acumen and the ability to effectively influence senior leaders across a variety of disciplines and business domains.
You set the stage for your team to lead and shine - business impact and the team\'s success are above all else - you leave no room for ego.
You have strong interpersonal and communication skills, with a proven ability to influence both technical and business senior leaders.
You are comfortable with ambiguity and are a role model for the team through your consistently positive and collaborative approach.
Ph.D. or advanced degree in Economics, Statistics, Mathematics, Business Analytics, or related field.
About Netflix
Sourced by ZipRecruiter
Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
Industry
Arts, entertainment, and recreation
Company size
5,001 - 10,000 Employees
Headquarters location
Los Gatos, CA, US
Year founded
1997