Senior Data Scientist jobs at Intuit - 122 jobs

The Global Business Solutions Group (GBSG) Product Growth team represents a new approach to accelerating business outcomes through a data-driven and surgical focus on product funnel optimization. We are building a center of excellence that brings together world-class talent to drive rapid experiments, deep analytics, and cross-functional collaboration, all aimed at uncovering and scaling growth opportunities. As a Principal Data Scientist, you will operate at a senior technical level as an individual contributor, partnering closely with peers and leaders alike to identify, execute, and iterate on high-impact growth initiatives. Your role is pivotal in leveraging advanced data science techniques, including causal inference-to unlock critical insights and propose actionable hypotheses that rally the team and drive measurable customer and business outcomes. Responsibilities Set Technical Vision and Strategy: Define and execute a data science roadmap that drives product funnel optimization and scalable growth initiatives across diverse business areas. Utilize rigorous causal inference techniques, advanced statistical modeling, and machine learning to extract actionable insights from complex datasets. Drive Deep Analytics & Experimentation: Develop a comprehensive, end-to-end data view of the customer experience, quickly mastering different areas of the business to identify new opportunities for growth. Design, implement, and analyze rapid experiments to validate hypotheses, ensuring every initiative is grounded in data-driven insights and robust causal analysis. Collaborate Across Functions: Partner closely with Product, Engineering, Design, and other cross-functional teams to integrate data insights into actionable product strategies and improvements. Support improvements in instrumentation, data quality, and logging to enhance analytical capabilities and drive deeper understanding of customer behavior. Lead by Example: Serve as a technical leader within the Product Growth team, setting the gold standard for analytical rigor and innovative problem-solving. Share expertise and best practices in causal inference and advanced analytics, mentoring team members and contributing to the broader growth framework at Intuit. Operate with Agility and Impact: Quickly assimilate and leverage various business metrics and data sources to uncover new insights and propose high-impact hypotheses. Balance deep technical work with rapid execution, ensuring insights are translated into effective strategies that deliver tangible results. Qualifications Experience & Expertise: 10+ years of experience in data science or analytics, with a strong track record in applying advanced analytical methods to drive product and business growth. Demonstrated expertise in causal inference techniques, statistical modeling, machine learning, and experimental design. Technical Proficiency: Advanced proficiency in SQL, Python, R, and other analytical tools, with hands-on experience in leveraging data visualization platforms (e.g., Tableau, Power BI) to communicate insights effectively. Proven ability to quickly jump into new business areas, mastering the key data and metrics to inform decision-making. Cross-Functional Collaboration & Leadership: Strong communication and storytelling skills, with a history of influencing both technical and non-technical stakeholders through data-driven insights. A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences. An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards, and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California: $240,000-324,500 Southern California: $197,500-$267,500 #J-18808-Ljbffr

Intuit's Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses to manage cash flow. At the heart of this mission, the QuickBooks Capital team is developing innovative solutions that empower customers to confidently access the right loan offerings with greater ease. The Lending Data Science team is seeking an experienced Data Scientist to lead data science and analytics for the Lending Product - a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans. By leveraging Intuit's rich customer data, this platform aims to deliver personalized loan offers and streamline the application experience. In this role, you'll analyze both internal and lender data to uncover actionable insights, provide strategic recommendations, and help scale the marketplace rapidly. The ideal candidate will have a solid foundation in quantitative analysis, experience working with large datasets, and a strong background in data-driven decision-making. Prior experience in fintech lending including credit card or marketplace analytics is a plus. Responsibilities Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations. Driving strategic insights to shape the future of Intuit's Lending Marketplace and positively impact millions of small and medium sized businesses. Developing predictive models, conducting experiments beyond A/B testing, and uncovering customer insights to drive product, marketing, and lending innovations. Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience. Collaborating closely with cross-functional partners in Product Management, Marketing, Engineering, and Design to inform and guide product strategy. Translating complex data into clear, actionable insights for both technical and non-technical stakeholders. Qualifications We're looking for a curious, proactive data scientist with a passion for fintech. 4-8 years of experience in data science and analytics in the fintech sector, ideally in lending, credit cards, or marketplaces. Proven ability to form hypotheses and find business opportunities based on customer behavior, industry trends, and market conditions. Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing. Strong expertise in predictive modeling, customer segmentation, and experimentation design. Experience in building scalable, reusable analytics tools and avoiding redundant efforts. Excellent communication and stakeholder influence skills across business and technical teams. Ability to work independently and collaboratively in a fast-paced, dynamic environment. BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field. Technical Skills: Advanced SQL proficiency and hands-on experience with visualization tools such as Tableau. Strong analytical and modeling skills using Python or R. Experience applying statistical and machine learning techniques to solve go-to-market and product problems. Preferred Additional Qualifications Experience addressing growth-related challenges at fintech companies focused on lending, credit cards, or marketplaces serving consumers or SMBs. Understanding of lending product nuances. Mix of product and marketing data science and/or analytics experience. Experience scaling multi-sided marketplace companies. Familiarity with Generative AI and other emerging technologies. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California: $159,500-215,500 Southern California: $149,500-202,500 #J-18808-Ljbffr

A leading technology firm in Mountain View, CA, is seeking a Senior Research Staff Data Scientist to innovate in AI methodologies, drive research across teams, and shape strategic decisions. This role requires a Master's degree and deep expertise in analytics, along with at least 10 years of relevant experience. A strong background in coding and statistical analysis is essential. The position offers a competitive salary ranging from $248,000 to $349,000, alongside bonuses and equity. Join a dynamic team pushing the boundaries of data science. #J-18808-Ljbffr

A leading technology company is seeking a Senior Staff Data Scientist to drive innovation within their AI Data organization in Sunnyvale, CA. The role focuses on leveraging expertise in data life-cycle for large-scale AI models, particularly Large Language Models. The ideal candidate must have a Master's degree in a quantitative field and over 10 years of experience in analytics, coding, and querying databases. This position offers a competitive salary range of $248,000-$349,000, plus bonus and equity. #J-18808-Ljbffr

A leading technology company is seeking an experienced Data Scientist to provide quantitative support and insights to enhance decision-making. Candidates should possess a Bachelor's in a quantitative field and 13 years of experience in analytics or a Master's with 10 years of experience. Responsibilities include project ownership, performing analyses, and collaborating across teams to drive improvements and operational goals. Competitive salary ranging from $227,000 to $320,000 plus bonuses and equity is offered based in Mountain View, CA. #J-18808-Ljbffr

TurboTax is investing heavily in how we use experimentation and causal inference to guide decisions across marketing, product, and business strategy. We are expanding our Decision Science Team and hiring a Staff Data Scientist to define the next generation of scientific rigor, experimentation systems, and measurement capabilities at scale. In this role, you will sit at the center of our most important decisions - shaping how we design experiments, develop causal methods, and build the systems that make best practices repeatable across the organization. You will pair deep econometric expertise with a builder mindset, transforming cutting‑edge science into durable, widely adopted capabilities. You will also lead the development of causal measurement frameworks for emerging agentic AI technologies -- ensuring we understand how AI‑driven systems behave, how they influence customer outcomes, and how we attribute impact in increasingly automated experiences. This is a rare opportunity to define the scientific foundation, tooling, and strategic direction for a major consumer business that reaches millions of customers. Responsibilities 1. Lead experimentation innovation and systems •Build and scale experimentation best practices across TurboTax -- including post-stratification, diagnostics, and consistent test read quality. •Design the workflows, tooling, and systems that make high-quality experimentation repeatable and easy for partner teams. •Partner with engineering to operationalize these capabilities in platforms and pipelines. 2. Set the scientific bar for causal inference •Define the gold standard for causal inference methods across TurboTax and Intuit. •Guide and mentor economists and data scientists on study design, rigor, and interpretation. •Drive adoption of modern econometric and causal ML methods where they generate real business impact. 3. Advance causal inference for agentic AI • Develop frameworks to measure how AI agents behave, learn, and affect customer outcomes. •Build causal attribution methods tailored for complex, AI-driven systems with feedback loops. •Partner with product and AI teams to define the roadmap for trustworthy agentic AI measurement. 4. Deliver high‑impact scientific work •Identify quasi-experimental opportunities and deliver analyses that drive clear business decisions. •Shape the Decision Science roadmap with a focus on scalable capabilities and material business value. •Anticipate emerging measurement needs -- especially those created by AI-driven experiences -- and build solutions ahead of demand. Qualifications * Bachelor's degree in Statistics, Economics, or a related quantitative field. Master's or PhD preferred. • 5+ years applying statistical and econometric methods to real decision-making contexts. • Deep expertise in causal inference (e.g., synthetic controls, RDD, IV, DiD, and modern causal ML). • Experience designing or scaling experimentation systems, frameworks, and best practices. • Ability to bring clarity and direction to highly ambiguous problems. • Strong communication skills and executive presence. • Proficiency in SQL and Python or R. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: #J-18808-Ljbffr

A leading financial technology company is seeking a Senior Staff Data Scientist to drive insights and impact strategic decisions for their core Accounting offerings. You will analyze large datasets to develop predictive models and actionable recommendations. Ideal candidates have 10+ years of experience in data science and strong SQL and Python skills. This role offers competitive compensation, including a cash bonus and equity rewards. #J-18808-Ljbffr

We are seeking a Staff Data Scientist to join our Money Data Science Team. This role is focused on growth across Intuit's fast money and consumer lending products. This is a high‑impact role where your work will directly influence product, marketing, and business strategies. As a Staff Data Scientist you will serve as a strategic thought partner to cross‑functional leaders, bringing deep analytical expertise and business acumen to bear on Intuit's most critical growth questions. You'll lead and contribute to projects that require advanced econometric modeling, causal inference, and experimental design. You will deliver insights that guide investment decisions, optimize user journeys, and inform strategy at the highest levels. This is a unique opportunity to apply your passion for data and causal reasoning to shape the future of financial empowerment for millions of users. Responsibilities Define KPIs and Success Metrics: Establish key business indicators for projects, ensuring alignment with company objectives and clear measures of success. Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Experimentation: Design, implement, and analyze experiments and quasi‑experiments to measure the impact of new initiatives in product and marketing. Predictive Analytics and Modeling: Develop predictive models and methodologies to uncover growth opportunities and support long‑term business planning. Communication: Translate complex technical findings into clear, actionable insights for senior leadership, including product, finance, and marketing executives. Leadership and Ownership: Demonstrate boundaryless leadership and extreme accountability - proactively drives outcomes across teams and leads with influence, not authority. Team Development: Serve as the technical lead for cross‑team data science projects, ensuring best practices and mentoring junior data scientists. Qualifications Bachelor's degree in Statistics, Economics, Computer Science or a related quantitative field is required. Advanced degrees, particularly a Master's or PhD in economics or statistics, are highly desirable. At least 5 years of experience applying statistical/econometric and modeling skills in decision making. Demonstrated expertise in causal inference-including advanced experimentation, synthetic controls, regression discontinuity, and instrumental variables-with a track record of rigorously solving problems with these methods. Applied experience leveraging machine learning-including predictive forecasting, explainable ML, and end‑to‑end model pipeline development-to drive meaningful business impact. A demonstrated ability to navigate through ambiguity and deliver results that significantly impact the business. Excellent communication skills and the ability to work effectively with both technical and non‑technical colleagues. Proficiency in SQL and a statistical programming language such as Python and/or R. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $186,500-252,000 Southern California $179,000-242,000 #J-18808-Ljbffr

A leading technology company in San Jose, CA, is seeking a Senior Product Data Scientist to provide analytics expertise for global product teams. In this role, you'll use your statistical toolkit to inform decisions for millions of users and facilitate insights and recommendations across functions. You will collaborate with partners, crafting meaningful narratives from data to drive product strategy. The ideal candidate has extensive experience with analytics, statistical methods, and coding, as well as strong communication skills. A great opportunity awaits for those passionate about leveraging data to influence outcomes. #J-18808-Ljbffr

corporate_fare Google place San Jose, CA, USA Apply 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 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. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience working autonomously, acting as a product owner to deliver results for global teams. Experience in an inter-disciplinary/cross-functional field with an interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. Ability to translate analysis results into business recommendations, and excellent communication skills. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Android and Business Communication (ABC) Data Science (DS) team's mission is to Power ABC products decisions with Data Science. The team solves complex business problems using quantitative methods to influence organizational strategy. The ABC DS team provides investigative leadership across three key product pillars: Consumer Messaging (Google Messages and Rich Communication Services (RCS), Messages business generation and Protection, and Calling including Telephony. Through our insights, we empower product teams to deliver high-quality, safe, and seamless communication experiences for billions of Android users. In this role, you will help serve Google Messages worldwide user base of over 2 billion people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. You will take the initiative as a data scientist, and apply your investigative and statistical toolkit to drive organizational and strategic decisions. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. 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 about benefits at Google . Responsibilities Design and implement methodologies, dashboards and presentations partnering with stakeholders across multiple functions and locations. Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. Serve as an analytics expert for your partners, using numbers to help them make better decisions. Weave stories with meaningful insight from data, making critical recommendations for your fellow Googlers in Engineering and Product Management. Use your investigative and statistical toolkit to tally up the numbers and communicate your findings to a team leader. 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 . 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. #J-18808-Ljbffr

Google - Mountain View, CA, USA; New York, NY, USA (Preferred location) Apply X Note: 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. Requirements: 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 about benefits 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 trade‑offs. 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. Equal Employment Opportunity 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. 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. #J-18808-Ljbffr

A leading financial software company in Mountain View is seeking a Senior Data Scientist to drive strategic data projects. The ideal candidate will have over 5 years of experience in data science and a strong proficiency in SQL and Python. Responsibilities include partnering with stakeholders, developing predictive models, and guiding experimentation strategies. Intuit offers a competitive compensation package with bonuses and equity rewards. #J-18808-Ljbffr

A leading financial technology company is seeking a Staff Data Scientist to enhance the effectiveness of our AI Agents initiative. The role involves partnering with product management, engineering, and design teams to define success metrics and develop a data-driven roadmap. Candidates should have 5-7 years of product analytics experience and be proficient in A/B testing, SQL, Python, and Tableau. This position offers a competitive compensation package and opportunities for bonuses and equity rewards. #J-18808-Ljbffr

A leading financial software company is seeking a Staff Data Scientist to drive innovation in experimentation and causal inference. You will shape key decisions and define methodologies that impact millions of customers. The role requires 5+ years of experience, a strong quantitative background, and expertise in causal methods. Candidates should thrive in ambiguous environments with excellent communication skills. This position offers a competitive compensation package, including a cash bonus and equity rewards. #J-18808-Ljbffr

A leading fintech company in California is seeking a Staff Data Scientist to impact growth through advanced analytics and cross-functional collaboration. The ideal candidate will have over 5 years of experience, deep expertise in causal inference, and strong communication skills to influence product and marketing strategies. This role offers competitive compensation, bonus eligibility, and opportunities for professional growth. #J-18808-Ljbffr

A leading tech company is seeking a Staff Data Scientist to join their Money Data Science Team in San Francisco. In this high-impact role, you will leverage your analytical skills to influence product and marketing strategies. Ideal candidates will have a strong background in statistics and causal inference, coupled with excellent communication skills. This position offers a competitive compensation package including cash bonuses and equity rewards. #J-18808-Ljbffr

A leading financial software company seeks a Staff Data Scientist in San Diego to drive product strategy through data analysis and modeling. You will perform A/B testing, mentor junior analysts, and utilize advanced analytical tools to influence business decisions. Ideal candidates have 7-10 years in analytics, strong SQL and Python skills, and a master's degree in a relevant field. The position offers a competitive compensation package, including cash bonuses and equity rewards. #J-18808-Ljbffr

Join the Intuit Customer Success team as a Principal Data Scientist within our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You'll be central to optimizing our greatest resource, our people, through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions. This is a mission-critical role requiring a strategic thought partner who brings cutting‑edge data science techniques and deep domain expertise to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross‑functional leaders-across Product Management, Engineering, Data, Customer Success, and Service Delivery-to architect the analytical frameworks and modeling solutions that shape our Expert Network and our AI Driven platform. This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision. Responsibilities Advanced Predictive Modeling & Machine Learning: Design, build, and deploy scalable models-including ensemble methods, time‑series forecasting, LTV modeling, deep learning architectures, and uplift modeling-to uncover high‑impact growth opportunities and drive personalization. Experimentation Science & Design: Own the end‑to‑end experimentation pipeline-from hypothesis generation and design (e.g., CUPED, multi‑armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification. Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact Attribution: Define and evolve success metrics using state‑of‑the‑art measurement frameworks, ensuring that business KPIs are both predictive and causally informative. Communication: Deliver compelling, data‑driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact. ML Engineering & Native AI: Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience. Thought Leadership & Mentorship: Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor. Strategic Influence: Demonstrate extreme ownership across cross‑functional initiatives, influencing product vision and delivering measurable impact through analytics innovation. Qualifications Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 10+ years of progressive experience in applied data science roles with increasing scope and complexity. Proven experience applying state‑of‑the‑art machine learning and causal inference methodologies in high‑impact, product‑facing applications. Expert‑level proficiency in SQL as well as Python or R. Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI‑assisted UX. Deep understanding of Generative AI and other evolving technologies. Application of GenAI at scale in a production environment. Deep knowledge of experimental design, including non‑standard A/B testing methods, uplift modeling, and sequential testing frameworks. Hands‑on experience with data visualization tools like Tableau or Qlik. Strong communication and storytelling abilities-adept at translating sophisticated analytics into strategic guidance. Proven leadership in mentoring technical talent and driving cross‑team alignment through data science innovation. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California: $231,000-312,500 #J-18808-Ljbffr

A leading technology company in Mountain View, CA is seeking a Data Analyst for Android Extended Reality (XR) development. The role involves providing quantitative support and analytics expertise to enhance product features and decision-making. The ideal candidate should have a Bachelor's in a quantitative field and 5 years of experience with coding in Python, R, and SQL. This full-time position offers a competitive salary ranging from $132,000-$189,000 plus bonuses and benefits, contributing to innovative spatial computing advancements. #J-18808-Ljbffr