Applied AI Data Science Lead, Focused Analytics Solutions Team (FAST) jobs in United States
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hackajob · 2 hours ago

Applied AI Data Science Lead, Focused Analytics Solutions Team (FAST)

positionColumbus, OH
timeFull-time
remoteOnsite
seniorityLead/Staff

Hackajob is collaborating with J.P. Morgan to connect exceptional tech professionals for the role of Applied AI Data Science Lead. In this role, you will drive the delivery of innovative AI and machine learning solutions while fostering a culture of collaboration and excellence within the Focused Analytics Solutions Team (FAST).

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

Responsibilities

Drive delivery of innovative solutions to complex business problems, with a focus on AI (including GenAI) and machine learning (e.g., deep learning, neural networks) solution development
Develop and execute test-and-learn frameworks for rapid prototyping
Translate insights into tools, processes, and strategies for the firm
Cultivate strong relationships with internal clients and senior leaders across CCB
Foster a culture of collaboration and excellence that empowers colleagues to share ideas and solve complex problems, with an emphasis on talent development
Recruit, develop, and retain talent through open communication and learning
Support initiatives that foster growth and opportunity for all team members
Maintain a rigorous controls environment for accurate and timely results

Qualification

Data science techniquesMachine learningLarge Language Model (LLM)Cloud architectureContainerizationCI/CD pipelinesCoachingCross-disciplinary experienceRegulated technology environmentsPythonRC++JuliaMatlabCommunicationMentoring

Required

Demonstrated mastery of data science techniques (e.g., descriptive, inferential, and causal statistics, model optimization) and machine learning (e.g., deep learning, neural networks, and generative AI)
Hands-on experience deploying Large Language Model (LLM) applications in production environments, including designing, building, and maintaining LLM-based solutions at scale
Familiarity with best practices for monitoring, observability, and responsible AI in production
Track record of mentoring and coaching talent, with experience building high-performing, collaborative teams
Experience working across disciplines, sectors, or cultures
Excellent communication skills, with an ability to communicate to diverse audiences (e.g., technical / non-technical)
Experience navigating regulated, complex technology environments
Proficiency in Python, R, C++, Julia, or Matlab

Preferred

PhD or equivalent experience in a quantitative, computational, or social science discipline
Demonstrated impact through publications, patents, open-source contributions, or significant project outcomes
Solid understanding of cloud architecture (AWS, GCP, Azure)
Experience with containerization, orchestration, and CI/CD pipelines for ML/AI workloads

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

hackajob

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The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
dateFounded in 2014
location
London, England, GBR
people-size51-200 employees
web-link
http://www.hackajob.com

Funding

Current Stage
Growth Stage
Total Funding
$33M
Key Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M

Leadership Team

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Mark Chaffey
CEO
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Phil Kell
VP - Marketplace
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Company data provided by crunchbase