Principal Research Scientist jobs at Intuit in United States, Mountain View

We are seeking an experienced Principal Product Manager to lead the strategic planning and delivery of integrated Mid-Market and shared ecosystem experiences for our payments and invoicing products. This role requires a leader with a deep understanding of the payments industry, exceptional execution and delivery excellence, and the ability to drive cross-functional initiatives that enhance our product offerings.

• Strategic Vision and Roadmap Development: Define and articulate a compelling MM product vision and strategy for our payments and invoicing ecosystem, aligning with overall business objectives and market opportunities. Develop and maintain a comprehensive product roadmap that addresses customer needs and positions the company as a leader in the industry.
• Cross-Functional Leadership: Lead cross-functional teams, including engineering, design, marketing, sales, and customer support, to ensure cohesive product development and delivery. Foster a collaborative environment that encourages innovation and continuous improvement.
• Market and Customer Insight: Conduct thorough market research and gather customer feedback to identify pain points, opportunities, and emerging trends. Utilize these insights to inform product decisions and prioritize features that deliver exceptional value to our users.
• Product Development and Execution: Oversee the end-to-end product development lifecycle, from concept through launch and iteration. Ensure timely delivery of high-quality products that meet or exceed customer expectations.
• Stakeholder Engagement: Engage with internal and external stakeholders to communicate product vision, gather requirements, and ensure alignment. Act as the primary point of contact for all matters related to the payments and invoicing ecosystem.
• Performance Monitoring and Optimization: Define key performance indicators (KPIs) to measure product success. Analyze product performance data to identify areas for improvement and implement strategies to optimize user experience and business outcomes.

• Educational Background: Bachelor’s degree in Business, Computer Science, Engineering, or a related field. An MBA or advanced degree is a plus.
• Experience: A minimum of 10 years of product management experience, with at least 5 years in the payments or financial technology industry. Proven track record of leading complex product initiatives that resulted in significant business growth.
• Leadership Skills: Demonstrated ability to lead and inspire cross-functional teams.
• Experience in managing and mentoring product managers is highly desirable.
• Strategic Thinking: Strong strategic planning skills with the ability to translate market insights into actionable product strategies.
• Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey complex ideas to both technical and non-technical audiences.
• Analytical Aptitude: Proficiency in data analysis and the ability to make data-driven decisions. Familiarity with analytics tools and methodologies.
• Technical Proficiency: Understanding of payment processing systems, invoicing platforms, and related technologies. Ability to engage effectively with engineering teams on technical topics.

As the founding Senior Staff Data Scientist working on a brand new product and a strategic bet within the company, you will dive deep into our data to uncover actionable insights and make recommendations that will fuel growth of this new product. The ideal candidate will have a strong background in quantitative analysis using large data sets, demonstrated growth hacking experience, and in data-driven decision making.

As a Senior Staff Data Scientist on the Product Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our product development and GTM strategies of a brand new product and strategic bet. This role requires a strong background in quantitative analysis, data-driven decision-making, and expertise in working with large data sets.

• Conceptualize business problems or opportunities, formulate hypotheses and goals, dene key metrics and make actionable recommendations
• Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
• Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience
• Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders

The ideal candidate is a curious, proactive data scientist with experience in building scalable solutions, a strong understanding of customer behavior, and a passion for fintech.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld
• 10+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
• Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
• Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.
• Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
• Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
• Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.
• Technical Skills:
  • Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash
  • Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
  • Familiarity with Linux/OS X command line, version control software (git), and general software development
• Preferred Additional Qualifications:
  • Experience solving growth-related problems at financial technology companies serving consumer or SMBs
  • Familiarity with Generative AI and other evolving technologies to accelerate insights from multi-modal data

• Leveraging predictive modeling, advanced analytics and causal inference methods to identify new opportunities to grow the business exploring unit economics, market dynamics, product migration, cross-selling, product growth levers, price/spend optimization, etc.
• Perform end-to-end analytics using advanced SQL, ML and AI to extract business insights that drive tangible value for our customers and result in business growth.
• Leverage data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self-service analytics.
• Disseminate business insights to cross-functional stakeholders and influence decision-making.
• Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes.

• 6+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact.
• Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
• Passion for uncovering strategic opportunities and and a strong business acumen and the ability to translate business strategy into testable hypotheses and insights
• High-level understanding of advanced statistical modeling and ML methodologies such as causal inference techniques with a strategic understanding of their application
• Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations.
• Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
• Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
• Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
• Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred. Or equivalent work experience.

Preferred Additional Experience:

• Working knowledge of Consumer Finance platforms’ (e.g., TurboTax) data and business model.
• Understanding of forecasting processes, financial reporting, time value of money, and other financial concepts.
• Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior

​​We are looking for a candidate with deep experience in marketing-centric data modelling and optimization. As a senior data scientist in the marketing science team, you will play a critical role in informing marketing strategy and decision making. You will work cross functionally with marketing, sales, finance, other analytics and engineering teams to drive measurement and optimization of growth marketing efforts.

• Develop predictive models to apply on QuickBooks marketing site and in product to personalize experience for potential and existing customers, driving better acquisition and retention.
• Create solutions to evaluate ROI for new pricing and strategy initiatives.
• Lead analytics for big campaigns/initiatives/tests measurements.
• Must have good judgment with the ability to think creatively and strategically.
• Communicate results and share actionable insights clearly, concisely and confidently to the broad team and leadership.

• MS/PhD in quantitative fields such as Business, Math, Statistics, Finance, Economics, Operations Research or a related field with 3+ years working experience in an analytics related role.
• Proficient in one of the following analytics tools, such as Python and R.
• Efficient in SQL, Hive, SparkSQL, etc.
• Good understanding of customer life cycle and lifetime revenue.
• Deep understanding of statistical modeling and marketing measurement, and a track record of solving problems with these methods.
• Confident with machine learning techniques and sophisticated analytics (e.g. regression, classification, clustering, time series, econometrics, mathematical optimization)
• Excellent communication skills and ability to learn fast, and confidence in taking ownership.

• Drive and own the Technical programs for the Mid Market PD team with touchpoints across our US, Canada, and India teams.
• Aid in planning, partnering with key stakeholders across product management,engineering managers, architects and quality engineering leaders.
• Communicate the plan, status and risk to Director, Vice President levelstakeholders.
• Build trust and drive change on a program across multiple portfolios & acrossgeographies.
• Drive and own the program strategy including tying the business unit, portfolioand program strategy together. Use influence to help teams understand how theprogram fits into the overall strategy.
• Prioritize initiatives within the program and surface risks and trade-offs as well as recommendations to the stakeholders.
• Breakdown and organize the program into manageable pieces that can bedelegated or individually owned.
• Drive the status and reporting structure in a manner that is consistent with bothAgile principles and the needs of the program.

• Partner with leadership to create an environment where the teams arerecognized and feel encouraged to the point that they want to work on yourprogram(s).
• Develop decision-making principles and recommendations for decisions.
• Identify risks, develop a risk mitigation plan and gain buy-in from stakeholders.
• Use data, principles and risk mitigation to assess progress to plan.
• Provide strategic thought partnership to executive leaders from a process,roadmap planning and operational standpoint
• Identify areas of opportunity, build a case for organization transformation andlead through the change

• Strong Program Management leadership experience, including 10+ years leading multiple complex projects.
• Demonstrated ability to work in a matrix environment, and ability to influence atall levels.
• Ability to communicate objectives, plans, status and results clearly, focusing oncritical key points.
• Proven ability in unearthing and managing risks in the program.
• Demonstrated ability to build strong partnerships across organizations indelivering the best outcome of complex programs.
• Computer science education or equivalent experience.
• 10+ years experience in technology focused programs.
• Agile training and experience preferred

• Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
• Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.
• Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems .
• Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment
• Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership.
• Knowledge of building AI native applications
  • Guides theapplicability of AI to customer problemsthrough a deep understanding of the value and limitations of AI technologies.
  • Understands evaluation tools to validate andmeasure the accuracyof solutions.
  • High-level understanding of how AI models work, the differenttypes of AI models that exist, and their pros and cons.
  • Understanding of the latest tools and technologies that apply AI to real-world applications.
• Creates robust, scalable, and secure technical designs , effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications
• Passionate forcontinuous learning, experimenting, and applyingcutting-edge technology and software paradigms to solve customer problems

Team/ Collaboration:

• Partners with other groups both inside and outside of Intuit for cross-functional design, development, and integration
• Works with cross-functional team members from Architecture, Product Management, and Operations to design, develop, test, and release features

Community:

• Contributes to standards, patterns, and best practices that improve the engineering community.
• Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, and engineering process improvements.

• Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
• 10+ years of experience developing systems/software for large business environments.
• 7+ years of experience designing complex distributed systems, management products, or business applications.
• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
• Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
• Experience with at least one of the following:
  • Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android)
  • Back-end technologies like Java, Typescript, Spring, Express (NodeJS)
• Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
• Prior experience working in teams that have built AI native applications for 1+ years
• BS/MS in Computer Science or related area.

Team/Leadership Qualifications

• Team player possessing strong analytical, problem-solving, and communication skills
• Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
• Prefers working in a team and collaborates with other cross-functional partners.
• Ability to work effectively in a fast-paced, complex technical environment.
• Excellent communication skills. Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
• "Self-starter" attitude and the ability to make decisions independently
• Experience driving for results across cross-functional teams while maintaining effective working relationships
• Demonstrated ability to work with global teams across time zones

Come join the Finance Team as a Principal Finance Analyst supporting our Big Bet 5 (Mid-Market). Main responsibilities include:

• Strategic planning: Be a trusted advisor to the leadership team to develop and refine our 1- and 3-year strategic plans, proactively highlighting risks and opportunities related to business growth and drive optimal investment decisions through data-driven insights and business modeling expertise.
• Operational Excellence: Partner with the Marketing and Analytics teams to develop and monitor key performance indicators to drive insights and decision making in order to achieve our strategic and financial plans
• Modeling: Create financial models to analyze complex business scenarios that drive and inform our go-to-market strategy (e.g. promotion, pricing, new sales channel opportunities, product portfolio)
• Financial reporting: Prepare financial reporting deliverables (month-end close package, variance explanation,...) to enable transparency into the business’s performance and drivers. Liaise with the Accounting team and cross-functional business partners to ensure correct accounting treatment of transactional activities.
• Process improvement: Drive efficiencies and continuous improvement by streamlining, standardizing and automating processes and reporting requirements
• Team coaching: Operate in a leader capacity, proactively influencing, leading & coaching within the Finance organization and cross-functional teams

You are a qualified financial analyst, with strong analytical and modeling skills and a deep SaaS understanding. You also have demonstrable experience of acting as a business partner, supporting and challenging non-finance stakeholders. As this role involves constant interaction with senior non-finance stakeholders across the business, you need the confidence and emotional intelligence to effectively communicate at all levels. The ideal candidate has worked in the high-tech industry and enjoys operating in an extremely fast-paced, entrepreneurial environment.

• Advanced Proficiency in Microsoft Excel to analyze complex business scenarios by building/improving financial models. Hyperion EssBase experience preferred.
• Highly motivated, self-starter with ability to work independently in a fast paced environment, simultaneously manage several priorities, and challenge the status quo to lead change and operational improvements.
• Attention to details and ability to synthesize large volumes of data into insightful recommendations to the executive leadership team.
• Ability to influence all levels of leadership to drive actions, behaviors, decisions and business outcomes
• Ability to lead teams to deliver exceptional results and drive business growth
• Exceptional track record of self-motivation, prioritization, initiative, and integrity
• Strong written and oral communication skills with experience in presenting to business partners with confidence, conviction, and credibility
• 6-8 years in FP&A roles and experience with SaaS a plus
• BS/BA in Finance or Accounting. MBA a plus. Or equivalent work experience.