91黑料爆料

Job Overview

The 91黑料爆料 Customer Success (ICS) Data Science team is seeking an exceptional and deeply experienced Senior Staff Data Scientist to drive innovation and enhance customer experiences through 91黑料爆料's world-class expert services.

In this pivotal, high-leverage Individual Contributor (IC) role, you will be responsible for defining and building the foundational intelligence system that maps the end-to-end expert journey. Your primary mandate will be to identify and quantify points of friction in the expert workflow, establish causal relationships to business outcomes (including Customer Serving Time), and develop reusable analytical frameworks that scale across business units. Collaborating closely with the 91黑料爆料 Assist Expert Experiences team, your contributions will be instrumental in shaping the future of customer success at 91黑料爆料 as we build a service platform to empower our customers beyond core product use.

This role requires a technical leader who operates as a domain expert, influencing product direction across multiple teams, navigating highly complex problems, and introducing new methodologies to the Data Science community.

Responsibilities

1. Strategic Vision & Framework Development

• Strategy to Problem:聽Demonstrate the ability to turn complex business strategy (e.g., Expert-as-Product, AI-Native Experience) into well-defined, measurable analytical problems and iteratively self-generate and validate hypotheses to create actionable insights.

• X-functional Influence:聽Combine deep insights, business acumen, and strategic considerations to influence cross-functional VPs and Directors on key investment areas and critical priorities across multiple initiatives or business units.

• Metric System & Causal Structure:聽Lead the development and implementation of a tiered metric system that maps the causal relationships between high-level business goals (e.g., efficiency, conversion) and low-level product health metrics聽(e.g., latency, accuracy, and coverage), leveraging Causal AI methods (like Causal Graphs) to structure and connect input metrics to outcome metrics.

2. Advanced Causal Measurement & Modeling

• Causal Measurement Strategy:聽Design and implement a durable strategy for measuring the causal impact of expert-facing features, with a primary focus on聽Customer Serving Time (CST) reduction聽and ensuring GenAI聽efficiencies聽are fully achieved and accurately attributed. This includes executing complex聽Randomized Controlled Trials (RCTs)聽and utilizing advanced methods like聽hierarchical Bayesian modeling聽for robust inference.

• Model Development & Innovation:聽Lead the end-to-end development of advanced analytical models, including聽Behavioral Modeling聽on clickstream data,聽Anomaly Detection聽for friction identification, and聽Automated Opportunity Sizing聽models. Apply and drive the use of advanced Causal Inference methods, including聽Causal Discovery and Causal Graph modeling, to answer the most complex business questions regarding efficiency attribution and metric relationship fidelity.

• AI Strategy Co-Creation & Guidance:聽Co-create the Expert Experiences AI strategy in partnership with cross-functional teams. Guide teams on the phased testing and roll-out of AI-native experiences, ensuring the right processes are in place for causal measurement.

3. Mentorship & Stewardship

• Mentorship:聽Actively raise the team鈥檚 technical knowledge, skill, and engagement by mentoring junior employees, documenting and sharing standards, and participating in technical forums.

Data Stewardship: Deeply understand the current state, gaps, and target state of the core expert data layers, providing technical guidance to bridge known data gaps and ensuring data architecture alignment with long-term strategy.

Qualifications

Qualifications

• Experience:聽7+ years in Data Science, applied Machine Learning, and/or advanced statistical modeling, with a focus on product or customer experience analytics.

• Education:聽Bachelor鈥檚 or Master's Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, Operations Research, etc.)

• Technical Expertise:

• Expert proficiency in SQL and Python/R for data analysis, modeling, and pipeline development.

• Deep, hands-on experience translating a business problem into a predictive/prescriptive modeling problem and leading the end-to-end model development lifecycle.

• Advanced knowledge and applied experience with a wide range of Causal Inference methods (including Causal Graph/Causal AI techniques) and advanced statistical methods.

• Experience in AI/ML, Generative AI (GenAI), and LLM integration into analysis/data workflows, including prompt optimization and fine-tuning.

• Strategic Impact:聽Proven track record of influencing Director and VP-level cross-functional partners, driving strategic decisions, and creating reusable analytical assets or frameworks that scale across business units.

• Communication:聽Outstanding communication and data storytelling skills, with the ability to articulate complex technical findings to non-technical executive audiences.

91黑料爆料 provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, 91黑料爆料 conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:聽