<div class="raw-formatting">Why PlayStation? PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today, were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. Sr. Data Scientist (Strategic Insights) San Mateo, CA Responsibilities: Using data, you will play a crucial role in driving decision making and delivering impactful insights to our partners at SIE. You will be responsible for applying advanced analytical techniques, building machine learning models, and leveraging causal inference methods to solve complex business problems related to platform engagement, product features, and first-party games. Apply sophisticated statistical and machine learning techniques to analyze large and complex datasets, extracting useful insights in a commercial setting Use your knowledge in causal inference, machine learning, and statistical modeling to develop robust predictive models and identify causal relationships Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test these hypotheses Independently extract and integrate data from multiple data systems (including writing complex SQL queries) to support analytical efforts Participate and support in delivering results and presentations to partners Provide thought-leadership in ongoing financial measurement and analysis of SIEs services; Identify new insights and opportunities for analytics projects Promote and share the team's work, methods, and skills in data science, causal inference, and machine learning with collaborators and the broader SIE community Stay up to date on the latest advancements in the field of data science (including causal inference and machine learning) and share knowledge and new insights with team. Qualifications: Knowledge of gaming industry and relevant gaming titles 5 years of advanced SQL required 5 years of experience using statistical packages (R or Python) for model development Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow) Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners Master's Degree or Ph.D. in Applied Math, Economics, Statistics, or Engineering preferred. BA/BS Degree in Mathematics, Applied Math, Statistics, Computer Science is a minimum requirement In-depth understanding and experience using supervised and non-supervised machine learning techniques Solid understanding of causal inference methods (such as propensity score matching, synthetic control methods, and difference-in-differences) for accurately estimating causal relationships Proficiency in designing and performing hypothesis tests to validate or reject research hypotheses Experience with standard BI Tools (Tableau, MicroStrategy, etc.). LI-GD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each roles base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIEs top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$155,500$233,300 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. This employer is a corporate member of myGwork - LGBTQ professionals, the business community for LGBTQ professionals, students, inclusive employers & anyone who believes in workplace equality.</div>

<div class="raw-formatting">At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If youre a close but not exact match with the description, we hope youll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. The Klaviyo Go-to-Market (GTM) organization is responsible for revenue delivery and customer satisfaction across our fast-growing global customer base. To help fuel our growth and find new ways to continuously improve, we are looking for a Principal Data Scientist to play a senior individual contributor role. You will influence GTM strategy through the projects you personally take on, your mentorship of others, and your ability to inform critical decisions that drive GTM strategy and operations. This position will report to the VP of GTM Strategy & Programs. The Principal Data Scientist will be responsible for translating complex business challenges into strategies to inform GTM leadership. Your technical leadership will inform investments, strategy, and educate leadership on how to think through the issues associated with diverse data signals. Your work will support planning for critical growth and efficiency initiatives. Exceptional partnership, quantitative modeling, and attention to business drivers will be paramount for success in this role. How youll make a difference : Ownership- Personally take on complex business problems and identify the appropriate statistical, optimization, and machine learning techniques to inform strategy. Go-to-Market Strategy- Define clear problem statements in partnership with GTM stakeholders. Formulate research plans and build data-intensive predictive models to inform longer term GTM strategy. For example, identify likely customer behavior, such as propensity modeling and customer lifetime value prediction, to optimize and prioritize GTM team efforts. Bring a science-based approach to decision making- Have deep knowledge to guide the appropriate statistical, machine learning, and optimization approaches to address the challenge. Uncover the data signals that influence GTM strategy and decisions and identify levers that we can adjust to serve customers and grow the business. As appropriate, operationalize and update models. Cross-Functional Collaboration- Seek and incorporate ideas and feedback across functions, including R&D, legal, finance, sales, marketing, and operations, to ensure alignment in addressing the highest impact problems. Who you are : You have been responsible for leading data science / machine learning deliverables that underpin a product, service, or business process that has delivered large business value Deep experience partnering with Go-to-Market business, finance or corporate strategy stakeholders to identify the critical factors that influence the business and drive decisions Excellent verbal and written communication skills. Facile with simplifying and explaining complex concepts to business stakeholders Firm grasp of the math and fundamentals behind statistical and machine learning techniques Advanced degree in statistics, operations research, engineering systems or equivalent experience 15 years applying statistics, machine learning, and optimization techniques to solve complex business problems Deep understanding and experience matching appropriate ML/statistical models to the business problem. Experience putting models into production to address practical business problems and drive ongoing business strategy Proven experience in developing and executing successful GTM initiatives with cross-organizational stakeholders Team player able to provide context and mentor peers and more junior team members The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees. Pay Range For US Locations: $192,000$288,000 USD Get to Know Klaviyo Were Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology were developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creatorsambitious and collaborative teammates who stay focused on our north star: delighting our customers. If youre ready to do the best work of your career, where youll be welcomed as your whole self from day one and supported with generous benefits, we hope youll join us. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. You can find our Job Applicant Privacy Notice here . This employer is a corporate member of myGwork - LGBTQ professionals, the business community for LGBTQ professionals, students, inclusive employers & anyone who believes in workplace equality.</div>

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If youre a close but not exact match with the description, we hope youll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.The Klaviyo Go-to-Market (GTM) organization is responsible for revenue delivery and customer satisfaction across our fast-growing global customer base. To help fuel our growth and find new ways to continuously improve, we are looking for a Principal Data Scientist to play a senior individual contributor role. You will influence GTM strategy through the projects you personally take on, your mentorship of others, and your ability to inform critical decisions that drive GTM strategy and operations. This position will report to the VP of GTM Strategy & Programs.The Principal Data Scientist will be responsible for translating complex business challenges into strategies to inform GTM leadership. Your technical leadership will inform investments, strategy, and educate leadership on how to think through the issues associated with diverse data signals. Your work will support planning for critical growth and efficiency initiatives. Exceptional partnership, quantitative modeling, and attention to business drivers will be paramount for success in this role.How youll make a difference :Ownership- Personally take on complex business problems and identify the appropriate statistical, optimization, and machine learning techniques to inform strategy.Go-to-Market Strategy- Define clear problem statements in partnership with GTM stakeholders. Formulate research plans and build data-intensive predictive models to inform longer term GTM strategy. For example, identify likely customer behavior, such as propensity modeling and customer lifetime value prediction, to optimize and prioritize GTM team efforts.Bring a science-based approach to decision making- Have deep knowledge to guide the appropriate statistical, machine learning, and optimization approaches to address the challenge. Uncover the data signals that influence GTM strategy and decisions and identify levers that we can adjust to serve customers and grow the business. As appropriate, operationalize and update models.Cross-Functional Collaboration- Seek and incorporate ideas and feedback across functions, including R&D, legal, finance, sales, marketing, and operations, to ensure alignment in addressing the highest impact problems.Who you are :You have been responsible for leading data science / machine learning deliverables that underpin a product, service, or business process that has delivered large business valueDeep experience partnering with Go-to-Market business, finance or corporate strategy stakeholders to identify the critical factors that influence the business and drive decisionsExcellent verbal and written communication skills. Facile with simplifying and explaining complex concepts to business stakeholdersFirm grasp of the math and fundamentals behind statistical and machine learning techniquesAdvanced degree in statistics, operations research, engineering systems or equivalent experience15+ years applying statistics, machine learning, and optimization techniques to solve complex business problemsDeep understanding and experience matching appropriate ML/statistical models to the business problem. Experience putting models into production to address practical business problems and drive ongoing business strategyProven experience in developing and executing successful GTM initiatives with cross-organizational stakeholdersTeam player able to provide context and mentor peers and more junior team membersThe pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.Pay Range For US Locations: $192,000$288,000 USD Get to Know KlaviyoWere Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology were developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creatorsambitious and collaborative teammates who stay focused on our north star: delighting our customers. If youre ready to do the best work of your career, where youll be welcomed as your whole self from day one and supported with generous benefits, we hope youll join us.Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.You can find our Job Applicant Privacy Notice here .This employer is a corporate member ofmyGwork - LGBTQ+ professionals, the business community for LGBTQ+ professionals,students, inclusive employers & anyone who believes in workplace equality.

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