Data Scientist – New College Grad

MentorX

在线财富管理公司

Data and its proper use is crucial to that vision and the data science team plays a fundamental role in understanding and interpreting those data sources.
The data science team creates data products to deliver personalized financial product experiences, develops best in class investment algorithms, and analyzes our rich financial and behavioral data to make key business decisions. The team draws from a variety of backgrounds in Computer Science & Engineering, Statistics, Economics, Math, Operations Research, and Financial Engineering. We derive strength from this diversity and are constantly learning and teaching each other in a down-to-earth and dynamic environment. We are neither too big where you would be just another cog in the system, nor are we too small that none of our efforts can be realized.
As a Data Scientist, you’ll be responsible for improving the quality of our decisions using data and the scientific method. Your work will generate tools and insights that inform product and business decisions throughout the company and across the product lifecycle, from ideation and research to launch and iteration. You will mentor and collaborate with your data science colleagues with a focus on technical skills and career development. We are fortunate to work with experienced product managers and engineers that have worked on products at companies like Facebook, Google, Twitter and Apple. This is an opportunity to learn from some of the most experienced operators in the startup world and to further an important and meaningful mission. Our Data Science team focuses on product analytics (for the product areas of Investments and Banking), A/B Testing, growth/marketing analytics, and risk analytics (fraud, credit).

What you’ll do

    • Work closely with cross-functional teams of product managers and engineers, translating open-ended business issues into data questions, identifying practical approaches including A/B testing to answer them, and carrying out timely and well-documented analyses that influence our product and company strategy
    • Design and develop data products to assist consumers with decisions around investments, banking, and financial planning
    • Continuously look for, and execute upon, opportunities to improve the quality of our data, infrastructure and products
    • Understand and communicate a data-driven picture of our clients, product and business
    • Promote automation of repetitive tasks and the creation of tools over ad hoc analyses, making your insights available to anyone that can benefit from them

What we’re looking for

    • Knowledge of Python and SQL toolchain to access, transform, visualize, and model business data
    • A firm foundation in data analysis basics including regression and classification models, experiment design, time series modeling and hypothesis testing
    • Ability and empathy to explain technical and statistical work to business stakeholders
    • Interest and ability to map business requirements and priorities to technical projects
    • Interest in continuous learning and mentoring others
    • BS, MS, or PhD in computer science, mathematics, statistics, economics or related field
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