Description
In this role, you will :
build machine learning models through all phases of development, from design through training, validation, and deployment
help our business leaders make better decisions by conducting rigorous statistical analyses of various business strategies
partner with a cross-functional team of data scientists, data engineers, software engineers, business analysts and product managers to deliver a product customers love
leverage a broad stack of technologies Python, R, Dask, SQL, AWS and more to build and monitor models and deliver transformational insights from data
The Ideal Candidate :
is technical. You have hands-on experience developing data science solutions using open-source packages. You’re comfortable with Python, SQL, command line, AWS, etc.
and are passionate about developing these skill sets further. You are able to write well documented and efficient code that is production-grade and that your team can leverage.
You know how to work with messy data sources.
is statistically-minded. You understand statistical concepts like sampling, bias, uncertainty, etc. and can reason using these principles.
You know how to interpret the outputs of standard statistical models. You have experience with hypothesis testing, regression models, classification models and clustering.
hasstrong written and verbal communication skills. Your documentation clearly articulates your thinking and you can communicate results well to your peers and other technical and business leaders.
is a self-starter and a creative problem solver. You take initiative, iterate quickly and know how to move past challenges.
You address business problems using actionable analyses and data science solutions.
Basic Qualifications :
Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD
At least 1 year of experience in open source programming languages for large scale data analysis
At least 1 year of experience with machine learning
At least 1 year of experience with relational databases
Preferred Qualifications :
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Physics or related disciplines.
At least 2 years of experience with Python or R, SQL and scripting
At least 2 years of experience working with and analyzing large datasets
At least 2 years of experience building, analyzing and deploying machine learning models
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.
Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site) : $138,500 - $158,100 for Sr Assoc, Data Science
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