Senior Data Scientist jobs at Etsy - 351 jobs

Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox's AI-first journey? As a Staff Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written Identify what matters most and prioritize ruthlessly for the area you will own Contribute to a culture of strong technical ownership, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 9+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction Proficiency in SQL, Python or other programming/scripting languages Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Ability to provide data insights and recommendations for 0→1 product even when sample size is small Strong verbal and written communication skills Preferred Qualifications Experience in startups or building 0→1 products Expertise in using data to inform AI/ML product development Background in SaaS product and growth analytics Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$203,200-$274,900 USDUS Zone 3$180,500-$244,300 USD

Role Description We're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$173,700-$234,900 USDUS Zone 3$154,400-$208,800 USD

Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$149,200-$201,800 USDUS Zone 3$132,600-$179,400 USD

Job DescriptionDescription: Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce. We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it's career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business. Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology! Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience. Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit! This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements. You must be available five days per week during designated work hours. The work arrangement for this role is subject to change based on business needs and individual performance. This may include adjustments to on-site requirements Position Overview Senior Data Scientist Our data science team is responsible for developing AI and machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. The team is focused on building high impact software solutions that deliver automation, insights, and assistance to millions of users every day. You can learn more about the type of work we do on our Paylocity AI page. As a Senior Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Primary Responsibilities The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark Collaborate with Product Managers, Enterprise Architects, Software Development Managers, and other leaders to translate complex human capital management challenges into data science projects Create automated data and modeling pipelines and develop custom performance tracking Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features Conduct ad-hoc analyses and present results in a clear manner Education and Experience The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree with 5 years of demonstrated data science success or similar experience; or, advanced degree (master's or PhD) preferred in data science, computer science, engineering, statistics, mathematics or other quantitative field, with no additional experience required. Experience in writing production grade machine learning models in Python Experience with cloud infrastructure (e.g., AWS, Azure, GCP) Demonstrated ability to leverage data science to drive business results Skilled at translating business problems into data science problems and communicating the results to non-technical audiences Able to work in a collaborative environment with a desire to share your ideas Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members Self-motivated, adaptable, and highly detail oriented Preferred Skills: Professional or academic experience in HR, social science or psychology Significant experience with cloud development and infrastructure-as-code tools Be invested in staying current in data science by applying new technologies and practices Physical requirements Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day. Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and type. This includes using multiple software programs and inquiries simultaneously. Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees' differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact *************************** . This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed. The pay range for this position is $117,200 - 217,600/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for a restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here Benefits Link . This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via ************************** #LI-Tech #LI-Remote Requirements:

Welcome to Perennial. Perennial is building the world's leading verification platform for soil-based carbon removal. Our vision is to unlock soil as one of the world's largest carbon sinks. To do that, we are building trusted standards, tools, and technologies to help verify climate-smart agriculture. Perennial uses advanced remote measurement technology for soil carbon sequestration and emissions. We fuse machine learning, ground observations, and satellite data to map soil carbon and land-based GHG emissions at continent-level scales. This technology is powering the future of climate-smart agriculture and helping the food supply chain decarbonize. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture. Our headquarters is located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work. We're venture-backed by mission-aligned investors including Temasek, Bloomberg, Microsoft Climate Innovation Fund, SineWave Ventures, Alumni Ventures Group, and Collaborative Fund.Position Overview As a Senior Data Scientist, you will be responsible for applying our algorithms and methodologies using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale for our customers. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets (see our work with Verra). You will help us work directly with our customers to quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. What You'll Own Train, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data End-to-end deliveries for our customers: train models, run predictions, and ensure quality results are delivered in customer reports Interface directly with customers to learn about their needs and pain points, and partner with our business development team to identify solutions Work with other data scientists, engineers, and policy experts to ensure that our data and methods comply with various standards and methodology requirements specific to a given project Characterize the accuracy and uncertainty of model predictions and demonstrate the dependence of performance metrics on the surrounding context and parameters of carbon projects Execute efficiently throughout full development cycle, from performing exploratory data analysis and initial R&D to rapid prototyping and hardening models for production Communicate your research internally and externally through detailed documentation, conference presentations, and peer-reviewed publications What You'll Bring Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field 5-8 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy) Experience working directly with customers Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets Good communication and collaboration skills with functional and cross-functional teams Ability to independently manage a project and deliver results What Will Make You Stand Out Experience working in the soil carbon MRV space and familiarity with relevant methodologies and tools (e.g. VM0042, VM0032, VMD0053) Expertise in the open source geospatial python stack. Basic raster and vector operations, e.g. resampling, tiling, clipping, extracting, spatial statistics, harmonizing data Experience in a solutions engineer or scientist role Experience quantifying uncertainty of spatial maps, or more generally geostatistics or spatial stats, esp. with machine learning Experience working with Google Earth Engine and GCS Startup experience or a strong entrepreneurial mindset (generally private company experience) Why You'll Love Working Here We live by our Core Values. Speak your truths, welcome new voices. Celebrate your successes, own your mistakes. Solve important problems. Invest in each other. Build for the future .Get your hands dirty! We challenge the status quo. We're a group of people who want to create the changes we hope to see in the world. See some of our recent press about the problems we're committed to solving. We invest in your life. We want to provide you with resources to meet your needs both in and outside of work. We offer generous PTO, health, vision, dental, 401k, and HSA benefits and a fully stocked kitchen to keep your mind sharp throughout the day. We want you to grow. We are a team that supports each others' professional and intellectual growth. You'll have access to regular opportunities to learn from teammates and invest in your professional development. We offer competitive compensation packages. Our team is our most valuable asset. We want everyone who works for us to feel fairly compensated for the impact they bring to our mission. The team member in this role can expect a starting salary in the range of USD $150,000-$180,000 (commensurate with experience and location), along with equity in the company. Perennial is an equal opportunity employer. We celebrate and embrace diversity and are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.

As a Data Scientist on the Core Engagement team, you will collaborate with our cross-functional teams to develop and execute product roadmaps, and define/own the ways we measure success and elevate the experimentation capabilities of the team. We are seeking an entrepreneurial and driven data scientist to accelerate our efforts and play a significant role in our data-centric culture. This person should be able to articulate best practices, develop new analytical frameworks that can tie user actions with output metrics and strike the right balance between analytical rigor and pragmatic business action. This person will work closely with various cross-functional teams, such as product, engineering, and design, to develop and deliver metrics, analyses, solutions, and insights. Successful candidates will demonstrate technical skills, product expertise, business acumen, and be enthusiastic about making a positive impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. Your Responsibilities Will Include Design, evaluate, and interpret experiments in the presence of network effects, delayed outcomes, and imperfect randomization-balancing speed with statistical rigor. Influence product direction by translating insights into clear recommendations that shape roadmap prioritization. Develop key strategic insights through exploratory data analysis, to inform future investments or pivot in strategy Build scalable metrics and dashboards to empower efficient decision-making Own the definition and evolution of success metrics for core engagement surfaces, including tradeoffs between short-term and long-term member value. Qualifications 5+ years of data science and product analytics experience BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc. Experience in designing trustworthy experimentation and analyzing complex product a/b testing results Expert in SQL, including complex joins, window functions, and performance-aware querying on large datasets Expert in Python or R programming, including common scientific computing packages and data science tools such as NumPy, Pandas, and Scikit-learn Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques Familiarity with modern analytics and BI tools like Looker, Tableau, Omni, Hex, Sigma, Eppo, StatSig, etc is a plus A strong understanding of two-sided marketplace dynamics Experience in navigating eco-system effects is a plus Strong in proactive verbal and written communication and presentation skills, ability to convey rigorous statistical concepts to non-experts Strong strategic thinking to navigate a complex business problem, going beyond short-term optimization. You excel at understanding the deeper “why” behind data insights Eagerness to explore and apply AI and emerging technologies (e.g., LLMs, automation, intelligent tooling) to accelerate analysis, experimentation, and decision-making

About NavaNava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position summary As a Data Scientist, you will use data to generate insights, build predictive models, and inform decisions that improve program outcomes and public services.What you'll do Work with program, product, engineering, and policy teams to identify high-impact questions and turn them into data-driven analysis Build, evaluate, and deploy predictive models that help forecast trends, improve service delivery, and inform policy decisions Build and maintain data pipelines and models that support analytics and operational reporting Develop data workflows and algorithms for cleaning, transforming, and validating data from multiple sources Design metrics, dashboards, and experiments to measure outcomes and program performance Apply statistical and machine learning methods to analyze complex datasets and inform product and policy design Work closely with subject matter experts to understand data and perform quality control Required skills Experience with Python for data analysis, modeling, and visualization Strong SQL skills and familiarity with relational databases (e.g., Postgres, MySQL) Hands-on experience developing predictive or statistical models using techniques such as regression, classification, clustering, or time-series forecasting Experience building or maintaining ETL/ELT pipelines and working with messy, real-world datasets Understanding of data validation, model evaluation, and experiment design Ability to translate data findings into actionable recommendations Awareness of privacy, security, and responsible data practices Desired skills Experience with LLMs and generative AI systems Other requirements All roles at Nava require the following: Legal authorization to work in the United StatesAbility to meet any other requirements for government contracts for which candidates are hired Work authorization that doesn't require visa sponsorship, now or in the future May be subject to a government background check or security clearance, depending on the contract Perks working with NavaHealth coverage - comprehensive medical, dental, and vision plans to support your overall health needs Insurance coverage - Nava provides disability, life, and accidental death insurance at no cost Time off - vacation, holidays (including Juneteenth), and floating holidays to rest and recharge Company holidays - enjoy 12 paid federal holidays each year on top of your regular PTOAnnual bonus - when Nava meets its goals, eligible employees receive a performance-based annual bonus Parental leave - paid time off for new parents, plus weekly meals delivered to your home Wellness program - full platform offering physical, mental, & emotional health resources & support tools Virtual care - see doctors online with no copay through UnitedHealthcare's virtual visit program Sabbatical leave - earn extended unpaid leave after continuous service for personal growth or rest 401(k) match - Nava matches 4% of your salary to support your retirement savings plan Flexible work - remote-first environment with flexibility built around your schedule and responsibilities Home office setup - company laptop & setup assistance provided via Staples for remote work needs Utility support - monthly reimbursement to help offset eligible home office utility expenses Learning opportunities - internal training programs and resources to help grow your professional skills Development opportunities - LinkedIn Learning access & an annual allowance for courses, tuition, & certs Referral bonus - get rewarded when you refer great people who join the Nava team Commuter benefits - pre-tax commuter programs to support in-office travel when applicable Supportive culture - A collaborative and remote-friendly team environment where people genuinely care LocationWe have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Delaware, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Stay in touch Sign up for our newsletter to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at ********************** if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States. Equal Employment OpportunityNava is committed to providing equal employment opportunities without discrimination or harassment on the basis of race, gender and/or gender identity or expression, color, creed, religion, religious creed, age, national origin, ethnicity, disability, veteran or military status, sex, sexual orientation, reproductive health autonomy, pregnancy, childbirth, and medical conditions related to pregnancy or childbirth, genetic information, domestic violence victim status, marital status, citizenship status, or any other characteristic protected by law. Nava prohibits any such discrimination or harassment. This policy applies to all employees, applicants, contractors, and temporary workers of Nava.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, 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 Group Corporation. Senior Data Scientist - Experimentation & Measurement San Mateo, CA Overview: As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices-bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation. What You'll Be Doing: Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. 5+ years of experience in a data science experimentation-focused role (3+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL for data extraction and transformation. Proficiency in Python, including statistical and data science libraries. Broad and applied knowledge of statistical techniques and machine learning modeling methods. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. #LI-KC 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 role's 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 SIE's 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.$178,900-$268,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 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, maternity or parental status, 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.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We're passionate about empowering restaurants-today and into the future. Our mission is to help them adapt, grow, and thrive through purpose-built technology. As a Senior Data Scientist, you'll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) Own the full machine learning lifecycle-from problem framing and data exploration to modeling, deployment, and monitoring-for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation. Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions. Experience with distributed data processing and training, real-time inference, and ML Ops frameworks Prior experience mentoring other data scientists or acting as a tech lead. Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems. Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD. Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock. Excellent communication skills and the ability to influence both technical and non-technical stakeholders. Strong business acumen with the ability to align technical solutions with company goals. Bonus ingredients* : An advanced degree in Computer Science, Statistics, or a related STEM field is preferred. Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability. Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it's a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at ******************************************** The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range$122,000-$195,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: ********************************************* Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role + Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale. + As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology. + As part of the Ecosystem Data Science team, you will use data to produce insights on emerging trends across all of GeminiApp and our competitors. Your work will be highly visible and highly impactful: this team's output regularly influences decision-making at the VP+ levels. Key responsibilities: + Translate ambiguous questions into well-defined problems + Analyze large complex datasets to produce concise, actionable insights + Communicate findings and recommendations to executive stakeholders, including visualizing data in a clear, compelling way + Develop, implement, and track top-level product and business metrics + Dive into metric developments and changes, and identify key drivers and root causes + Automate currently manual metric reporting flows and outputs + Build and deploy statistical/ML models to understand our users and product capabilities + Partner with product, engineering, and UX to develop data-driven product insights and strategies + Champion data-driven culture by feeding user engagement insights back into models About You In order to set you up for success as a Data Scientist at Google DeepMind, we look for the following skills and experience: + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree. + 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives. In addition, the following would be an advantage: + Proven experience in identifying data-driven opportunities for business/product improvement and defining/measuring the success of those initiatives + Proven experience in setting up, maintaining, and reporting on top-line product performance and business metrics + Strong communication, writing, and presentation skills + Past experience on a performance or growth data science or similar team + Experience with experimental design and analysis + Experience working with large and messy datasets to solve ambiguous business problems + Ability to self-start and self-direct work in an unstructured, fast-paced, challenging environment + A bias for action and creative problem-solving and ability to work effectively across functions and PAs Why You'll Love Working Here Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people and be one of the greatest forces for good in the world. Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs. Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it. The US base salary range for this full-time position is between $156,000- $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: November 14, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

_corporate_fare_ Google _place_ Mountain View, CA, USA; New York, NY, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; New York, NY, USA** . **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree. **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + Experience with Gen AI Evaluation Science, ML and modern AI. + Experience working with peers and more executive stakeholders. + Ability to manage a product quality flywheel to inform iterations in model and product development. **About the job** Google Shopping is a comprehensive product search engine, a fast-growing product ads business, and an everyday essentials marketplace. We aim to revolutionize shopping by building great user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on Shopping products on various surfaces including .com, AI Mode, and Gemini. We are a shopping feature data science (DS) team within the Consumer Shopping DS, focused on building and evaluating AI-driven shopping experiences in Search (e.g., AI mode, AI Overview, etc.). As a Senior Data Scientist, you will lead analytics and measurement for key shopping features, working closely with Product and Engineering to shape development, experimentation strategy, and long-term roadmap decisions. You will play a critical role in defining how we build and measure user experience within emerging AI-powered features, delivering insights that directly influence product evolution. By applying advanced experimentation and analysis, you will drive data-informed decisions across our AI-driven shopping surfaces. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead analysis to shape the direction of AI-powered shopping features in Search and AI mode, including areas such as brand profile, user generated content and next-generation shopping experiences. + Design and analyze A/B experiments to evaluate shopping feature impact and tradeoffs. + Develop and operationalize novel measurement methodologies to quantify user behavior, engagement, quality, long-term user value for evolving shopping features. + Conduct post-launch and longitudinal analyses to understand the long-term impact, identify growth opportunities, and inform future product development. + Partner closely with Product, Engineering and User Experience (UX) to translate ambiguous product questions into clear frameworks and actionable insights. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; New York, NY, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; New York, NY, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. + Experience in both SQL and dashboard. **Preferred qualifications:** + 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. **About the job** Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. Harness the power of efficiency, scale, and Ads and Commerce product insights to drive exponential impact to our business partners. Serve as the driving force behind smarter decisions and excellence in Ads and Commerce; our unique value proposition lies in our visibility across all Ads products and the vast resources of our business. Committed to pioneering excellence in processes, uncovering valuable insights, and fostering innovation, we are at the forefront of change. We provide indispensable support to our partners as we collectively redefine the landscape we operate in. With a laser focus on strategy, we are the catalysts for positive transformation, ensuring our team's impact resonates across the entire Ads business.The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Serve as a key contributor to the innovation of our investigative frameworks, acting as a thought leader and first mover on key technological innovation for the Ads and Commerce Finance team. + Use SQL and create dashboards/tools to automate processes, generate reports, and guide product decisions. + Develop and maintain scalable financial tools and infrastructure, including advanced datasets and intuitive dashboards, to aid the broader organization in achieving our problem-solving goals. + Work with Ads and Commerce Finance data science analyst community to integrate requirements into critical datasets and systems. + Analyze data and incorporate business insights into core reporting and infrastructure in support of our executive reporting agenda. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Minimum qualifications: * Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. * 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. * Experience in both SQL and dashboard. Preferred qualifications: * 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. About the job Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. Harness the power of efficiency, scale, and Ads and Commerce product insights to drive exponential impact to our business partners. Serve as the driving force behind smarter decisions and excellence in Ads and Commerce; our unique value proposition lies in our visibility across all Ads products and the vast resources of our business. Committed to pioneering excellence in processes, uncovering valuable insights, and fostering innovation, we are at the forefront of change. We provide indispensable support to our partners as we collectively redefine the landscape we operate in. With a laser focus on strategy, we are the catalysts for positive transformation, ensuring our team's impact resonates across the entire Ads business.The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Serve as a key contributor to the innovation of our investigative frameworks, acting as a thought leader and first mover on key technological innovation for the Ads and Commerce Finance team. * Use SQL and create dashboards/tools to automate processes, generate reports, and guide product decisions. * Develop and maintain scalable financial tools and infrastructure, including advanced datasets and intuitive dashboards, to aid the broader organization in achieving our problem-solving goals. * Work with Ads and Commerce Finance data science analyst community to integrate requirements into critical datasets and systems. * Analyze data and incorporate business insights into core reporting and infrastructure in support of our executive reporting agenda.

About The Role As a Senior Data Scientist, you will drive data-driven strategies, lead complex analyses to improve the performance on the Disco network across both advertisers and publishers. You will work on projects that range from developing user-based and contextual signals for targeting and model ranking, to optimizing UI/UX and copy to increase engagement and monetization. This role operates in a high-paced startup environment, requiring proactive ownership, versatility, and close collaboration with product, engineering, and Go-To-Market partners. Responsibilities Design and run online experiments (A/B, Bayesian) to improve network performance across ranking, presentation formats, UI, and copy Engineer scalable user and contextual features to enhance targeting accuracy, prediction performance, and auction results Build models and methodologies to analyze and predict advertiser and publisher performance, including treatment effects and lift Build analytics and reporting tools enabling non-technical stakeholders to assess performance, diagnose opportunities, and test hypotheses Collaborate with product and engineering to evolve Disco's identity graph, including integrating 3rd-party data sources Identify and scope opportunities for new experimentation pathways, feature development, and data-driven improvements to marketplace efficiency Experience Experience: 5+ years of industry experience as a Data Scientist (or 2+ years with a PhD) Master's degree in Statistics, Data Science/Analytics, or related quantitative discipline preferred Experience working cross-functionally with product, engineering, and Go-To-Market teams; significant ad-tech experience strongly preferred Demonstrated project leadership & ownership, and the ability to tackle highly ambiguous technical and business problems Experience with core Python data science libraries such as pandas, numpy, and scipy Experience with relational databases such as Snowflake, Postgres, and MySQL Strong knowledge of online AB testing and experimentation Strong Bayesian statistics foundation; experience with applying multi-armed bandit methods (e.g., Thompson Sampling) a plus Experience with modern data tooling (i.e. dbt, Dagster) a plus Perks & Benefits We believe in taking care of our team - inside and outside of work. Time to recharge Flexible PTO policy 15 paid holidays 3 company-wide DisConnect Days to truly unplug Health & wellbeing Comprehensive medical, dental, vision, and life insurance $250 monthly flexible lifestyle stipend $100 monthly Disco credit to shop from the incredible brands in our network Financial & family support 401(k) to invest in your future $750 monthly childcare stipend $132 monthly commuter benefit $500 home office setup reimbursement to make your workspace your own Everyday perks $20 Grubhub credit each day you're in the SF or NYC office Great people, meaningful work, and a team that genuinely believes in what we're building The compensation package for this role is estimated to be in the range of $160,000 to $185,000 in base salary, supplemented by a competitive performance-based bonus target and an equity component. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. Final compensation will be based on the candidate's skills, experience, and overall seniority within the role.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, 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 Group Corporation. Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-KC 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 role's 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 SIE's 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.$212,200-$318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 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, maternity or parental status, 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.

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Data Scientist of Marketing who possesses a passion for videogames and creating valuable insights from a variety of data sources. This is a full-time, in-office position based out of Rockstar's NYC headquarters in Downtown Manhattan. WHAT WE DO The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. We perform complex analyses, build reporting solutions, and help develop data that drives forward actionable, efficient insight delivery to help inform decisions across multiple stakeholder groups and development projects. RESPONSIBILITIES Assure Rockstar's ongoing competitive advantage through statistical analysis, machine learning, and useful monitoring reports to identify patterns and predict outcomes. Partner with marketing stakeholders to define business objectives, translate those objectives into data questions, and identify the appropriate analytical solution to drive insights and data-informed business decisions. Build self-service reporting and other data products that provide flexibility for business stakeholders to investigate questions while maintaining accuracy, efficiency, and clarity in results. Drive creation and adoption of predictive models for marketing campaign performance, leading implementation across stakeholders. Generate marketing reports, dashboards, and insights collaborating with the marketing analytics team, across analytics teams, and with our stakeholders. Evaluate performance of marketing campaigns, collating data across multiple marketing channels. Generate insights at scale, prioritizing automation of reports and data standardization. Possess subject matter expertise for Marketing Analytics and build the team's analytics capabilities. Use machine learning for predictive modeling of our player and marketing channel data to help inform targeting strategies and campaign goals. Maintain and enhance existing marketing reports, ensuring accuracy, consistency, and relevance to executive stakeholders. REQUIREMENTS 5+ years of experience in data science or similar role within the gaming, marketing, finance, or technology fields required. 4+ years of experience working with SQL, Python, and/or PySpark to perform exploratory analyses with optimized queries. 4+ years of experience in data visualization and hands on working with complex data. 2+ years of experience developing machine learning models to solve complex business problems. Excellent written and verbal communication skills with the ability to communicate and visualize complex information in a meaningful way to a variety of audiences. Strong interpersonal skills with the ability to develop and maintain relations with diverse teams and stakeholders, at all hierarchal levels. Ability to work directly with a variety of stakeholders to understand their needs and provide relevant and actionable solutions. Ability to draw inferences from disparate pieces of data, identifying key findings and linking to business strategies or objectives. PLUSES Please note that these are desirable skills and are not required to apply for the position. Experience with Snowflake and/or Databricks. Game industry experience strongly desired. Experience with marketing data and deliverables preferred. HOW TO APPLY Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. #LI-SD1 The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. *NY Base Pay Range$121,400-$161,800 USD

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: * Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. * At least 7 years of Information Technology experience * At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning * Strong proficiency in Python programming. * Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. * Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson * Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. * Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. * Experience with data gathering, data quality, system architecture, coding best practices * Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). * Experience with Lean / Agile development methodologies * This position may require travel, will involve close co-ordination with offshore teams * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: * 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL * Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. * Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). * Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends * Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. * Strong understanding and experience of LLM fine-tuning, local deployment of open-source models * Proficiency in building RESTful APIs using FastAPI, Flask, or Django. * Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. * Experience with perception (e.g. computer vision), time series data (e.g. text analysis) * Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala * Data visualization tools such as Tableau, Query languages such as SQL, Hive * Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : * Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) * 401(k) plan and contributions dependent on salary level * Paid holidays plus Paid Time Off

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: * Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. * At least 7 years of Information Technology experience * At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning * Strong proficiency in Python programming. * Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. * Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson * Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. * Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. * Experience with data gathering, data quality, system architecture, coding best practices * Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). * Experience with Lean / Agile development methodologies * This position may require travel, will involve close co-ordination with offshore teams * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: * 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL * Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. * Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). * Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends * Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. * Strong understanding and experience of LLM fine-tuning, local deployment of open-source models * Proficiency in building RESTful APIs using FastAPI, Flask, or Django. * Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. * Experience with perception (e.g. computer vision), time series data (e.g. text analysis) * Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala * Data visualization tools such as Tableau, Query languages such as SQL, Hive * Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : * Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) * 401(k) plan and contributions dependent on salary level * Paid holidays plus Paid Time Off

Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: * Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. * At least 7 years of Information Technology experience * At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning * Strong proficiency in Python programming. * Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. * Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson * Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. * Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. * Experience with data gathering, data quality, system architecture, coding best practices * Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). * Experience with Lean / Agile development methodologies * This position may require travel, will involve close co-ordination with offshore teams * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: * 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL * Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. * Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). * Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends * Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. * Strong understanding and experience of LLM fine-tuning, local deployment of open-source models * Proficiency in building RESTful APIs using FastAPI, Flask, or Django. * Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. * Experience with perception (e.g. computer vision), time series data (e.g. text analysis) * Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala * Data visualization tools such as Tableau, Query languages such as SQL, Hive * Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : * Medical/Dental/Vision/Life Insurance * Long-term/Short-term Disability * Health and Dependent Care Reimbursement Accounts * Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) * 401(k) plan and contributions dependent on salary level * Paid holidays plus Paid Time Off