91黑料爆料

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Senior AI Scientist

Category Data Location San Diego, California; Mountain View, California Job ID 18601

Company Overview

91黑料爆料 is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Job Overview聽91黑料爆料 is seeking an innovative and hands-on聽Senior AI Scientist聽to join the聽Ops Science team. This team is at the intersection of Artificial Intelligence, Machine Learning, and Operations Research. We embed advanced algorithms into our business to create smarter products, improve security, and鈥攃rucially鈥攐ptimize the operational efficiency of our massive customer success networks.

In this role, you will move beyond standard classification problems. You will be building and deploying models that solve complex resource allocation, forecasting, and scheduling challenges. You will work to predict demand, optimize workforce capacity, and enable real-time decision-making that directly impacts hundreds of thousands of customers and experts.


You will partner closely with product managers, software engineers, and designers to design experiments and Minimum Viable Products (MVPs). Your role will range from research experimentalist to technology innovator to consultative business partner.


Responsibilities

  • End-to-End Modeling:聽Perform hands-on data analysis and modeling with massive datasets. Discover data sources, build your own ETL pipelines to clean/import data, and make them "model-ready."

  • Advanced Algorithm Development:聽Apply data mining, NLP, and machine learning (supervised and unsupervised) to improve relevance and personalization.

  • Optimization & Forecasting:聽Design and implement algorithms for complex operational problems, including demand forecasting, capacity planning, and resource scheduling.

  • Experimentation:聽Work side-by-side with cross-functional teams to design A/B tests, analyze results, draw statistical conclusions, and communicate actionable insights to peers and leadership.

  • Feature Engineering:聽Create and refine features from underlying data, developing the subject matter expertise required to build intuition on model performance

  • Innovation:聽Explore new design shifts and technology trends (such as GenAI or Reinforcement Learning) to determine how they can solve customer problems or improve operational efficiency.


Qualifications

  • MS or PhD in a quantitative field (Computer Science, Statistics, Applied Math, Operations Research, Physics, etc.).

  • 4+ years of industry experience with Data Science/AI (or 2+ years with a PhD).


  • Strong proficiency in Python or R, with expertise in modern analytical libraries (e.g., scikit-learn, pandas, numpy).

  • Proficiency in SQL and experience working with large-scale data ecosystems (Hive, SparkSQL, etc.).

  • Comfortable working in a Linux environment.

  • Solid foundation in standard data mining and statistical modeling techniques: clustering, classification, regression, decision trees, neural nets, SVMs, and anomaly detection.

  • Communication:聽Demonstrated ability to explain complex technical issues and trade-offs to both technical and non-technical audiences.

  • Advanced Time Series Forecasting:聽Expertise in applied forecasting (ARIMA, Prophet, Neural methods) with an ability to handle sparsity, hierarchical constraints, and recurrent events to predict business volumes or attrition.

  • Reinforcement Learning (RL):聽Interest or experience in RL to move from static optimization to real-time, dynamic decision-making systems.

  • Deep Learning:聽Experience applying Deep Learning techniques to memory-constrained problems or complex pattern recognition.

  • Domain Expertise:聽Background in聽Workforce Management (WFM), Supply Chain, Logistics, or Gig-Economy dynamic pricing/matching (e.g., experience at companies like Uber, DoorDash, Amazon Supply Chain, or Airline Revenue Management).


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


San Diego, California: $160,500 - $217,000聽


Bay Area, California: $173,500 - $234,500聽

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst