Lead Data Scientist at Fieldguide | San Francisco, CA

FieldguideSan Francisco, CA

Remote Full-time

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Experience Level

Mid to Senior

Qualifications

To thrive in this role, you should have a strong background in data science and analytics with experience in working with large datasets. Proficiency in statistical analysis, machine learning techniques, and data visualization tools is essential. A collaborative mindset and excellent communication skills are necessary for effectively conveying insights and recommendations to various stakeholders.

About the job

About Us
At Fieldguide, we are redefining trust in global commerce and capital markets by automating and enhancing the workflows of assurance and audit professionals, particularly in cybersecurity, privacy, and financial auditing. Our mission is simple: to create software that facilitates trust between businesses.

Although we are headquartered in San Francisco, CA, we operate as a remote-first organization, empowering you to excel from anywhere. Our esteemed investors include Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and others.

We embrace diversity in all its forms, believing that varied backgrounds and experiences are crucial for shaping the future of audit and advisory practices. Our team culture is inclusive, driven, humble, and supportive, and we are intentional about creating a workplace that fosters team development and individual growth.

As an early-stage startup, you’ll play a pivotal role in building the future of business trust. We simplify the lives of audit practitioners by streamlining up to 50% of their workload, promoting a healthier work-life balance. If you resonate with our values and share our enthusiasm for fostering a vibrant culture and innovative product, you’ll find your place at Fieldguide.

About the Role

Join our Data Science team as we utilize unique, proprietary datasets to develop Fieldguide Insights , an innovative product that provides unprecedented visibility into Audit and Advisory execution and performance. Collaborate closely with product, design, engineering, and customer teams to create analytics and data science models that reveal key performance indicators, pinpoint operational inefficiencies, and empower clients to make informed, data-driven decisions. This position is perfect for individuals who excel at tackling complex, ambiguous challenges and are eager to shape the future of intelligent workflows for Audit and Advisory firms.

What You’ll Do

Analyze extensive volumes of structured and unstructured data to identify trends, patterns, and actionable insights.
Establish and monitor key performance metrics to assess firm, team, and engagement outcomes using Fieldguide’s leading dataset.
Design and develop customer-facing analytics features and dashboards that deliver tangible value by highlighting opportunities and supporting strategic decision-making.
Construct and maintain scalable data infrastructure, ensuring reliability and efficiency in data handling.

About Fieldguide

Fieldguide is a pioneering company focused on enhancing trust in business transactions through innovative software solutions for audit and advisory professionals. Our commitment to diversity and inclusion drives our team culture, making it a supportive and engaging environment for all employees.

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Join Our Mission to Empower Others: We’re Hiring! At GoFundMe, we pride ourselves on being the world’s largest platform dedicated to social good, connecting individuals and nonprofits to foster a supportive community. Since our inception in 2010, our collective efforts have raised over $40 billion to help people in need. We are committed to making it easy and secure for anyone to seek assistance and support meaningful causes. We are currently seeking a talented Staff Data Scientist specializing in Pricing to take the lead as a senior individual contributor. You will spearhead the scientific methods, strategic initiatives, experimentation, and AI implementation that drive pricing and yield optimization at GoFundMe. This pivotal role combines elements of economics, behavioral science, experimentation, and machine learning, directly influencing donation conversion rates, donation amounts, and overall donor experiences across our platform. Please note, candidates must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week. Your Role: End-to-End Ownership of Donation Pricing: Develop and implement analytical strategies, modeling frameworks, and key success metrics for pricing recommendations, balancing conversion rates, donation sizes, and long-term donor trust. Modeling Human Behavior: Utilize economic theories, behavioral science, and machine learning techniques to comprehend donor decision-making processes, assess elasticity, and forecast responses to alterations in product design. Leveraging Behavioral Signals: Analyze non-transactional behavioral signals (such as navigation patterns, hesitations, context, device usage, and timing) to identify shifts in intent and interaction patterns beyond direct transactions. Creating Adaptive Systems: Engineer models that evolve over time, integrating experimentation signals, feedback loops, and reinforcement learning concepts as needed. Leading Experimentation and Causal Learning: Collaborate with Product and Engineering teams to establish robust experimentation and measurement frameworks, ensuring that pricing and donation models maintain causal integrity and are safe for large-scale deployment. Incorporating External Data: Enhance behavioral models using external datasets (including macroeconomic indicators, seasonal trends, and regional signals) to gain deeper insights into donor behavior. Translating Insights into Action: Transform complex economic and behavioral analyses into actionable, deployable models.

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