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Intuit Principal Data Scientist in San Diego, California

Overview

We are looking for an experienced and highly-motivated Senior Analyst to join our Marketing Analytics team. You must have a strong background in data science, inference, automation and experimentation, be able to communicate effectively with stakeholders, and have a passion for driving data-informed solutions.

What you'll bring

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.

  • MS in a quantitative field such as computer science, statistics, economics, math, or equivalent work experience + BS

  • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.

  • Strong background in statistical analysis, programming, and experimentation.

  • Proven ability to apply scientific methods to solve real-world problems on web-scale data.

  • Expertise in at least one scripting language (ideally Python/R), with experience building models in either langugage

  • Proficiency in SQL and Hive.

  • Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

  • Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership teams.

  • Experience in querying and manipulating large data sets.

  • Knowledge to translate quantitative findings into actionable insights and influence business decisions.

  • Meaningful time as a data scientist partnering with business functions, ideally with Email/Push marketing teams, and having expertise in analyzing content.

  • Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams.

  • Ability to turn ambiguous questions and problems into clear deliverables and insights.

  • Ability to make tradeoffs between speed and accuracy wisely

How you will lead

  • Develop data-driven insights to drive marketing decisions and improve business outcomes.

  • Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques etc. to measure marketing's impact across our suite of products.

  • Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.

  • Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns.

  • Design measurement approach and identify flaws in experiment practices and results, especially in 3P environments.

  • Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps.

  • Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.

  • Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects

  • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.

  • Optimize our marketing efforts and enable customer retention through push campaigns and other organic avenues

  • Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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