Senior Data Scientist, Home Lending
Wealthfront
Listing collected from Wealthfront's career site. NextChapter is independent of Wealthfront.
Palo Alto, CA · Posted August 10, 2026
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Where Palo Alto, CA ranks
Where Palo Alto, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for entry-level jobs that want AI skills28% · of 100
- #3Best cities for entry-level jobs that want AI skills in the West Coast28% · of 54
- #3Best cities for AI-skill jobs37% · of 100
- #3Best cities for AI-skill jobs in the West Coast37% · of 71
- #4Best cities for data and analytics pay after cost of living$207k · of 28
- #4Best all-round cities for mid-career professionals83 / 100 · of 100
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 42 open senior data scientist listings that state pay, the middle half runs $162,500 to $205,000 and the median is $192,500.
Listed pay is what employers advertise, not what people are paid.
Senior Data Scientist salaries by state · Check your own pay
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
The Wealthfront Data Science Team utilizes our rich financial and behavioral data to influence key product and marketing decisions, as well as to safeguard our client’s information and assets. The team draws from backgrounds in Statistics, Operations Research, Computer Science, Economics, and Natural Sciences. We value analytical rigor, clear communication, and proactivity. We believe that good ideas can come from anywhere and encourage Data Scientists to pursue self-directed explorations in search of business value.
The Data Scientist in this role will be primarily embedded within Wealthfront’s new and quickly-growing Home Lending area. The vision of this area is to enable our clients to grow their wealth through leveraged home ownership.