Staff Data Scientist (AI/ML)

TL;DR

Staff Data Scientist (AI/ML): Empowering world-class customer experiences for Mailchimp by delivering data-driven insights, experimentation, and predictive intelligence with an accent on measurement frameworks, causal analysis, and predictive modeling. Focus on defining how Customer Success impact is measured at scale, evolving data platforms, and evaluating AI/ML- and LLM-driven experiences.

Location: Onsite in Atlanta, Georgia or New York, New York, USA

Company

hirify.global is a global financial technology platform powering prosperity for approximately 100 million customers with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Serve as a strategic analytics partner to Customer Success, Product, and Operations leaders.
• Design, execute, and interpret advanced experiments and causal inference methods.
• Develop and maintain scalable measurement frameworks for key Customer Success outcomes.
• Build predictive models and durable customer segmentation approaches.
• Translate complex analyses into clear, actionable insights for stakeholders, including senior leadership.
• Partner with Data Engineering and evaluate the impact of AI/ML- and LLM-driven customer experiences.

Requirements

• 6+ years of experience in data science, analytics, or product analytics, with demonstrated impact in customer success, product, marketing, or go-to-market domains.
• Strong foundation in statistics, experimentation, and causal inference.
• Advanced SQL skills and strong proficiency in Python for data analysis, modeling, and experimentation (e.g., pandas, numpy, scikit-learn, statsmodels).
• Proven ability to work with large, complex datasets and translate insights into business decisions.
• Excellent communication and storytelling skills, with the ability to influence stakeholders and guide decision-making.
• Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Data Science, or related).

Nice to have

• Experience in fintech, SaaS, marketing technology, or SMB-focused products.
• Familiarity with Customer Success metrics and concepts.
• Experience partnering closely with Product, Engineering, and AI/ML teams.
• Familiarity with BI and visualization tools (e.g., Tableau, Qlik, Quicksight).
• Experience using version control (git) and applying software engineering best practices to analytics workflows.
• Exposure to Generative AI or LLM-powered analytics and customer-facing use cases.

Culture & Benefits

• Role-model hirify.global’s “Win Together” mindset by collaborating deeply across teams.
• Competitive compensation package with a strong pay for performance rewards approach.
• Eligibility for a cash bonus, equity rewards, and benefits.
• Workspaces and technology are always evolving to support collaboration, innovation, and spark creativity.
• hirify.global conducts regular comparisons across categories of ethnicity and gender to drive ongoing fair pay.