Senior Associate, Data Scientist - Business Cards Marketing Data Science
Team Description
The Business Cards Marketing Data Science team is a team of talented data scientists leveraging cutting-edge machine learning models and statistical methods to deeply understand customer behavior, so we can optimize our marketing campaigns to win new customers and drive sticky relationships with our existing customers.
In the recent past, we have experimented with multiple modeling approaches including time-series models, regression & classification models, ensemble models, LLMs, causal learners to name a few. Our objective is to drive model usage across every aspect of marketing and increase personalization.
We are embedded within the teams owning the campaigns and hence work very closely with business analysts and marketers to ensure that the models we build drive business value and are used in decision making and in marketing campaigns.
Role Description
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies 6 Python, Conda, AWS, H2O, Spark, and more 6 to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You99re not afraid to share a new idea.
Technical. You99re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You99ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. Big data doesn99t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Preferred Qualifications:
Master99s Degree in STEM field (Science, Technology, Engineering, or Mathematics), or PhD in STEM field (Science, Technology, Engineering, or Mathematics)
Experience working with AWS
At least 2 years99 experience in Python, Scala, or R
At least 2 years99 experience with machine learning
At least 2 years99 experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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, NY: $148,000 - $168,900 for Sr Assoc, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate99s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
