Data Scientist – Marketing
The Clorox Company
AzureBigQueryCloudDockerPythonSQL
Senior Manager, Data Science – AI Foundations
Capital One
full-time
Posted on:
Location Type: Hybrid
Location: New York City • California, New York, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $225,400 - $280,600 per year
Job Level
Senior
Tech Stack
AWSOpen SourcePyTorch
About the role
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
- Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
- Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
- Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Requirements
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
- At least 2 years of experience leveraging open source programming languages for large scale data analysis
- At least 2 years of experience working with machine learning
- At least 2 years of experience utilizing relational databases
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Natural Language Processingmachine learningdata analyticslarge scale data analysisrelational databasesPytorchHugging FaceLangChainLightningVectorDBs
Soft skills
interpersonal skillscommunication
Certifications
Bachelor's DegreeMaster's DegreePhD
