Personal Capital is a leading digital wealth management company,
founded in 2009. We?re on a mission to transform financial lives
through technology and people, providing both insight-driven advice
with free financial tools and personalized wealth management from
200+ registered financial advisors across the country. Personal
Capital has raised $315 million in capital from accomplished
financial and strategic investors (IVP, Venrock, Crosslink,
Corsair, Blackrock, BBVA, USAA, IGM/Power) to disrupt the
traditional $30 trillion U.S. wealth management market. Our free
personal finance app is utilized by over two million users, helping
them track over $840 billion of their personal finances, all in one
place. Our award-winning apps paved the way for our advisory firm,
which now manages over $12 billion in personalized investment
portfolios for American families. Personal Capital is headquartered
in Redwood Shores with offices in San Francisco, Denver, Dallas and
You will provide insights to business stakeholders in Marketing,
Sales, Product, and Service, enabling them to make informed
decisions. You will perform exploratory and detailed analysis of
large data sets and present the analysis to stakeholders. You will
maintain and create complex classifiers, predictive models and
utilize other machine learning techniques, in collaboration with
Data Engineers, Java Engineers, Business Analysts and business
stakeholders to provide analysis and make recommendations.
We are searching for someone innovative. Someone who can think
outside of the box, understand our financial services business, and
advocate visionary and new ideas. Further, the ideal candidate will
be self-motivated, work well autonomously as well as with others,
possess solid critical thinking skills, hold the ability to
synthesize complex problems and develop programs to apply data
science concepts to improve business efficiencies. Excellent
written and speaking communication skills are required to work
successfully in a collaborative cross-functional environment and
interact with the full spectrum of business divisions.
+ 5+ years of professional experience as a data scientist
+ A Bachelor/Master of Science degree in Computer Science,
Operations Research, Statistics, or another quantitative
discipline. A Master/PhD's degree is an added bonus.
+ Experience with statistics and/or applied math as the basis
for selecting appropriate models and experiments.
+ Experience with data science projects from end to end,
starting with problem formulation to model development in
+ Experience utilizing conventional machine learning and deep
learning libraries, in particular scikit-learn and keras.
+ Experience developing data pipelines and feature engineering
in Python, R or other equivalent programming languages.
+ Experience working with large sets of data stored in a variety
of storage platforms such as traditional Data Warehouse, Data Lake,
+ Experience mentoring Data Scientists
+ Demonstrated ability to collaborate with stakeholders,
understand requirements and translate them into solvable problems
via Data Science/Machine Learning
+ Experience with all phases of software development life
+ Familiarity with machine learning techniques and
+ Familiarity with distributed computing and Big Data
technologies, including map/reduce ecosystem (Hadoop, Spark,
PySpark, HDFS, Hive)
+ Strong programming experience in at least one programming
language, preferably Python.
+ Experience utilizing machine learning platforms such as Amazon
SageMaker is a plus.
This role is available in Redwood City, California or as a work
from home position offered nationwide.
Personal Capital is proud to be an equal opportunity workplace
dedicated to pursuing and hiring a diverse workforce.