2 дня назад
Senior Staff Data Scientist (AI)
210 500 - 284 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Data Scientist (AI): Developing data-driven insights, success metrics, machine learning models, and LLM applications for Intuit’s Global Business Solutions Group with an accent on customer segmentation, product analytics, sales analysis, and business strategy. Focus on designing analytical frameworks, operationalizing insights, influencing senior decisions, and coaching junior data scientists.
Location: Mountain View, California, United States
Salary: $210,500–$284,500 annual base pay, plus potential cash bonus, equity rewards, and benefits.
Company
is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Influence strategic and operational decisions through customer segmentation, profiling, product analytics, sales funnel and win/loss analysis, and voice-of-customer analysis.
- Develop and manage success metrics and leading indicators for business initiatives and programs.
- Identify new business opportunities and help business partners achieve their goals.
- Communicate data-driven insights to business partners and senior leadership.
- Develop machine learning models and LLM applications for business problems.
- Collaborate with data scientists and data engineers on cross-functional analytics capabilities and coach junior data scientists.
Requirements
- 10+ years of experience in web, product, customer, strategy, sales, marketing, CRM, or related analytics.
- Highly proficient in SQL, Python, and data visualization tools such as Tableau.
- Multiple years of experience applying advanced analytics techniques, machine learning models, and LLMs.
- Ability to create analytical frameworks for complex business problems and manage multiple projects simultaneously.
- Outstanding communication skills with technical, non-technical, and executive audiences.
- Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, or a related field.
Nice to have
- Experience in the B2B industry.
Culture & Benefits
- Competitive compensation with a pay-for-performance rewards approach.
- Potential cash bonus, equity rewards, and employee benefits.
- Compensation is assessed based on job-related knowledge, skills, experience, and work location.
- Regular pay equity comparisons across ethnicity and gender categories.
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