Staff Data Scientist - Corporate Finance

Responsibilities

• 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.
• Performing 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.
• Leveraging data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self-service analytics.
• Disseminating business insights to cross-functional stakeholders and influencing decision-making.
• Keeping up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes.

Qualifications

• 8+ 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 a strong business acumen and the ability to translate business strategy into testable hypotheses and insights.
• A 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.

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 Mountain View $194,000 - $262,500.