Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
About the role
- Senior Manager, Data Science at Capital One focusing on AI solutions and machine learning technologies. Leading cross-functional teams to enhance customer interactions with financial services.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.
Data Scientist II using data science techniques for actionable insights. Working with cross - functional teams to resolve data issues and innovate analytical solutions.
Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.