Senior Data Scientist – Experimentation & Analytics

Data Science & Analytics
San Diego, CA – Hybrid (On-site/Remote mix)

Role Type: Full-Time Contract (6 Months) | $65-$75/hr

About Our Client

Our client is a leading financial technology company that has been powering prosperity for individuals and small businesses for over 40 years. They develop innovative software platforms serving over 100 million customers globally, including industry-leading solutions for accounting, tax preparation, personal finance management, and small business operations. Operating across North America and internationally, their products are trusted by consumers, self-employed individuals, and accounting professionals alike. The company is recognized for its commitment to innovation, customer obsession, and using artificial intelligence and data science to simplify complex financial tasks. Their mission is to power prosperity around the world by putting more money in customers' pockets through intuitive, AI-driven experiences that eliminate financial complexity.

Job Description

As a Senior Data Scientist specializing in Experimentation & Analytics, you will serve as a strategic analytical partner to senior leadership, translating complex data into compelling narratives that directly influence business strategy and decision-making. This role sits at the intersection of advanced statistics, business strategy, and product innovation—requiring you to design sophisticated experiments, apply causal inference methods, and deliver actionable insights that drive customer satisfaction, operational readiness, and revenue outcomes.

Your day-to-day will involve leading A/B testing and experimental design initiatives, applying Bayesian methods and causal modeling to uncover insights, and partnering with business operations, product, and engineering teams to evaluate program performance. You'll work closely with data engineering to ensure scalable, trustworthy data infrastructure supports your analyses, while collaborating with fellow data scientists in a highly innovative environment where your work directly shapes customer experiences and business results.

This role exists to bring analytical excellence and experimental rigor to critical business decisions, ensuring that product launches, operational changes, and customer experience improvements are grounded in statistical evidence and measurable impact. You'll report to data science leadership while working autonomously to define success metrics, establish measurement frameworks, and mentor junior analysts. The ideal candidate is passionate about applying advanced statistical methods to real-world business problems, thrives in fast-paced environments with multiple concurrent projects, and sees opportunities for innovation rather than just responding to assigned tasks.

Duties and Responsibilities

• Lead the design, execution, and interpretation of A/B tests and experimental methodologies to evaluate program and product performance
• Apply advanced statistical techniques including Bayesian methods and causal inference to improve customer experience and reduce friction in assisted service flows
• Perform business analysis using statistical analysis, explanatory and predictive modeling, and data mining to drive measurable revenue outcomes
• Partner with cross-functional leaders to define success metrics and establish robust measurement frameworks ensuring clear outcome tracking
• Develop data-driven narratives and actionable insights that inform senior leadership strategy and guide business decision-making
• Collaborate with data engineering teams to guide development and maintenance of reliable data marts enabling scalable, trustworthy analysis
• Determine best practices and deliver recommendations for current business operations based on analytical findings
• Work directly with internal clients to identify analytical requirements and translate business questions into rigorous statistical frameworks
• Produce ad hoc data analysis and reports supporting time-sensitive business needs and strategic initiatives
• Mentor and guide less experienced data analysts and scientists, fostering a culture of analytical excellence and continuous learning
• Manage multiple concurrent projects in a fast-paced environment while maintaining high standards for statistical rigor and communication clarity

Required Experience/Skills

• 8+ years of experience in data science, analytics, or related analytical field with proven track record of business impact
• Demonstrated expertise in experimental design including A/B testing, multivariate testing, and causal inference methodologies
• Advanced statistical knowledge including Bayesian methods, hypothesis testing, and causal modeling techniques
• Proven ability to extract insights from complex data and communicate compelling data-driven stories that influence executive decision-making
• Excellent SQL skills for data extraction, manipulation, and pipeline development across large-scale datasets
• Expert proficiency in data visualization tools (Tableau, Qlik) to create clear, impactful presentations for technical and non-technical audiences
• Strong problem-solving and end-to-end quantitative thinking skills with ability to frame ambiguous business problems analytically
• Experience establishing measurement frameworks and defining success metrics aligned with business objectives
• Ability to manage multiple projects simultaneously while maintaining attention to detail and analytical rigor
• Excellent communication skills with ability to translate technical concepts for cross-functional stakeholders and senior leadership
• Collaborative mindset with experience partnering across business operations, product, and engineering teams
• Passion for mentorship and developing analytical talent within teams

Nice-to-Haves

• Proficiency in Python or R for advanced analytics, statistical modeling, and workflow automation
• Experience with big data platforms and tools such as Snowflake, Spark, or Databricks for large-scale data processing
• Machine learning experience including predictive modeling, classification, and regression techniques
• Familiarity with Generative AI applications and emerging AI/ML technologies in business contexts
• Experience in fintech, financial services, or tax/accounting software environments
• Background working in fast-paced innovation-focused teams where experimentation drives culture and product development
• Knowledge of data engineering principles and experience collaborating on data infrastructure design
• Experience implementing or developing systems to capture business operation information
• Previous work in customer journey analytics, conversion optimization, or revenue analytics for consumer or small business products

Education

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field required
• Master's degree or PhD in Statistics, Data Science, Econometrics, or related quantitative discipline strongly preferred
• Equivalent professional experience with demonstrated mastery of advanced statistical methods may be considered

Pay & Benefits Summary

• Hourly Rate: $65-$75/hr (based on experience and qualifications)
• 6-month contract engagement with potential for extension or conversion based on performance and business needs
• Hybrid work flexibility with mix of on-site collaboration in San Diego and remote work options
• Opportunity to work on high-impact projects directly influencing customer experience and revenue outcomes for millions of users
• Collaborative environment working alongside talented data scientists, analysts, and cross-functional partners in a culture of innovation
• Exposure to senior leadership with opportunity to influence strategic business decisions through analytical insights
• Access to cutting-edge data platforms and tools including Snowflake, Tableau, and big data technologies
• Professional development through mentorship opportunities and work on innovative experimentation methodologies
• Work with a mission-driven company focused on powering prosperity and improving financial outcomes for customers worldwide

Apply Now!

Ready to lead experimentation initiatives that drive measurable business impact for millions of customers? Join a team where your statistical expertise and data storytelling will shape strategic decisions in financial technology. If you're passionate about applying advanced analytics to solve real-world problems that put more money in customers' pockets and thrive in fast-paced, innovative environments, we want to hear from you. Submit your application today and bring your experimental rigor to a role where data drives every decision!

Keywords: Data Scientist | A/B Testing | Experimentation | Causal Inference | Bayesian Statistics | SQL | Tableau | Python | R | Snowflake | Analytics | Statistical Modeling | Data Visualization | Machine Learning