Manager Data Science - GenAI Digital Assistant
Manager Data Science - GenAI Digital Assistant
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 211000 - 240800
1 Vacancy
Job Description
Data is at the center of everything we do. As a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in 1988! Fastforward a few years and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of datadriven decisionmaking.
As a Data Scientist at Capital One youll be part of a team thats leading the next wave of disruption at a whole new scale using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people time and agony in their financial lives.
Team Description:
The GenAI Powered Digital Assistant Team in AI Foundations engage in active research in GenAI powered conversational capabilities and build scalable futuristics solutions to enhance our customers digital experience and real time support through digital assistance. You will be the driving force to lead research innovate and develop applications with emerging AI/ML technologies. Our areas of research include advanced LLM powered digital Assistant multiagentic workflow domain specific conversational large language model tuning and inference optimization.
In this role you will:
Partner with a crossfunctional team of data scientists software engineers machine learning engineers and product managers to deliver AI powered products that change how developers write software.
Lead cuttingedge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable futuristic digital assistant solutions.
Finetune advanced Large Language Models (LLMs) for domainspecific conversational applications inference optimization and multiagentic workflows.
Leverage a broad stack of technologies Python AWS Pyspark LangChain LangGraph HuggingFace Transformers vLLM and VectorDBs and more
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs) adapt and finetune them for business specific applications and features.
Drive innovation by designing training evaluating and deploying stateoftheart NLP models partnering with engineering teams to integrate them into scalable and resilient production systems.
Translate complex AI/ML research into tangible business outcomes improving customer experience through realtime intelligent digital assistance.
The Ideal Candidate is:
Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply stateoftheart methods to realworld problems..
Creative. You excel at defining and solving complex ambiguous problems constantly questioning and pushing boundaries to develop novel solutions
A leader. You challenge conventional thinking drive breakthroughs in conversational AI and mentor teams to achieve innovation excellence
Technical. You have handson experience in AI/ML development working with opensource tools cloud computing platforms and DevOps technologies. You are proficient in NLP and LLM tuning.
Influential. You are passionate about GenAI and can bring together crossfunctional teams to drive adoption and innovation. You communicate complex ideas clearly to technical and nontechnical audiences.
Basic Qualifications:
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 Bachelors Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 6 years of experience performing data analytics
A Masters 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 4 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 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Preferred Qualifications:
PhD in Computer Engineering plus 3 years of relevant experience prior publication/research experience referred
At least 3 years of specialized experience in GenAI application development.
At least 3 years of experience in LLM model training evaluation inference optimization and parallelization in GPU cluster
At least 3 years of experience working with AWS or equivalent GPU Clusters
At least 3 years of experience in PyTorch/Tensorflow
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum fulltime 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 parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean VA: $193400 $220700 for Mgr Data ScienceCandidates 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 candidates 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 wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt status and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy childbirth or related medical conditions) race color age national origin religion disability genetic information marital status sexual orientation gender identity gender reassignment citizenship immigration status protected veteran status or any other basis prohibited under applicable federal state or local law. Capital One promotes a drugfree workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23A of the New York Correction Law; San Francisco California Police Code Article 49 Sections; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal state and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting ator via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital Ones recruiting process please send an email to
Capital One does not provide endorse nor guarantee and is not liable for thirdparty products services educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Required Experience:
Manager
Employment Type
Full-Time
