Senior Applied Data Scientist - Machine Learning

We are seeking a Senior Machine Learning Scientist to join the Data Science team at Wealthfront. The primary responsibility of the role is to build machine learning models to facilitate improvements in Financial Planning and Advice with the goal of improving financial outcomes for customers, not merely providing the best advice. Your focus will span topics related to personalization and recommendations. Successful candidates will combine an ability to derive and apply quantitative models to the empirical analysis of financial and client data. Code and models are the way we express insights and analysis, thus you need to be comfortable working with large datasets and writing significant amounts of product-ready code.

Responsibilities

  • Build machine learning models for financial planning product
  • Curate and collect data to train machine learning models, measure, report and compare the performance with baselines
  • Be able to drive a research agenda that is well aligned with business needs
  • Maintain a current understanding of industry and technology trends in the area of research
  • Improve and accelerate technology with science, machine learning (including deep learning), statistical modeling, algorithm design, and prototyping
  • Investigate, identify, and acquire internal / external datasets
  • Collaborate with other teams (engineering, product, design, marketing, and compliance) to commercialize new products and ongoing enhancements to existing products

Requirements

  • PhD (or equivalent experience) in Computer Science/Statistics. Candidates from related disciplines with a strong focus on machine learning (e.g. operations research, engineering) are also encouraged to apply
  • Strong Computer Science fundamentals in data structures, algorithm design and complexity analysis
  • 2+ years of working experience with web-scale data processing, data mining or machine learning applications
  • Strong fundamentals in applied statistics and probability
  • Technically deep in the principles of building large-scale machine learning systems
  • Programming competency in Python and Spark
  • Strong presentation skills and ability to communicate technical content to an audience with varied backgrounds



Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.



Wealthfront is a nextgen banking service. We help you manage your money for both your short-term and long-term goals by providing a cash account with a top-of-market APY, best-in-class automated investment management, and free financial advice, anytime you want it. We entered into the banking space in a big way this year with the launch of our cash account that offers an interest rate 23x greater than the national average. We’ve been overwhelmed by the response and have grown nearly 100% this year already to manage nearly $20 billion in total client assets.  

Our ultimate vision is to optimize and automate all of our clients’ finances and build what we call Self-Driving Money™️. We want clients to be able to automatically deposit their paycheck into their Wealthfront account, and let us take care of the rest — paying their bills, topping off their emergency fund or 401(k), and investing the rest based on their specific goals and lifestyle. To get there, we’ll be focusing the bulk of our 2019 efforts on creating a better alternative to what the banking industry provides. Join us so you can help us turn this industry on its head and build a service that our clients don't just like, they love.

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