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Staff Data Scientist

Category Data Location Atlanta, Georgia; New York, New York Job ID 2025-70090
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit Mailchimp is seeking an experienced data scientist to drive data informed decision making with our Customer Success team. We have an exciting opportunity to evolve and accelerate the way we leverage behavioral and transactional data to surface customer insights, build models to personalize small business customer experiences, and deliver awesome outcomes for our customers. This role will drive critical cross-functional strategies and will partner closely with product management, data engineering, data science, AI science, and other cross functional partners.

We are looking for a Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading analytics support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.

Responsibilities

  • Drive strategic thinking to optimize product and user experience efforts (inclusive of experimentation) for customer journeys, based on customer segments, lifecycle stages, and other critical customer attributes.
  • Represents analytics function on cross-functional leadership team and provides/inspires data-driven change around end-to-end customer experiences to grow product usage, improve retention and reduce churn.
  • Promotes a scientific and engineering mindset to analytics. Uplevels team on data science and analytics engineering practices, and teaches experimentation science and statistical modeling.
  • Partners with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them.
  • Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.
  • Collects, analyzes, and models available data to advance the customer success space and build a broad understanding of the Mailchimp customers and relevant customer segments.
  • Pursues data quality, troubleshoots data validation, and sees issues to resolution.
  • Provides guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
  • Establish best practices including quality assurance, automation, code reviews, quality checks, and data alarms.

Qualifications

  • 7+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related data science & analytics fields. Experience in B2B marketing/sales analytics is a plus.
  • Proven experience analyzing data from a variety of sources (quantitative and qualitative), presenting the data in a clear and concise manner, and create actionable insights
  • Expertise in SQL, Python/R
  • Experience with statistical methods such as regression and hypothesis testing
  • Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau
  • Ability to build relationships, be persuasive and influential within and across immediate working groups
  • Strong product sense with a demonstrated ability to diagnose and solve real product problems.
  • Solid modeling foundation, including hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, support vector machines, anomaly detection, and natural language processing.
  • Experience with customer segmentation, data enrichment tools and technologies, and personalization at scale (preferably in a B2B context).
  • Degree in engineering, computer science, information systems or equivalent experience required, Masters/MBA preferred
  • Experience with Causal Inference methods is a big plus
  • Experience with distributed computing is a plus
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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $186,500.00 - $252,000. 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.

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

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